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<title>Costos energéticos y de explotación del conjunto Tractor MF-275-Cosechadora KUHN MC 90S TWIN de maíz forrajero</title>
<meta content="materiales, fabricación, transporte, mantenimientos, reparaciones, salario, combustible, Materials, Manufacturing, Transport, Repair, Maintenance, Salary, Fuel" name="keywords">
<meta content="Pedro A. Valdés Hernández" name="author">
<meta content="Pedro Paneque Rondón" name="author">
<meta content="Pascual Daniel Crespo Torres" name="author">
<meta content="María Victoria Gómez Águila" name="author">
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<header>
  <div class="toctitle"> Ingeniería Agrícola Vol. 12, No. 3, Julio-Septiembre, 2022, ISSN:&nbsp;2227-8761</div>
  <div class="toctitle2"><img src="data:image/png;base64,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" id="codigo" alt="Código QR" height="85" width="85"><script>
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  <div class="toctitle2"> CU-ID:&nbsp;<a target="_blank" href="https://cu-id.com/2284/v12n3e01">https://cu-id.com/2284/v12n3e01</a></div>
  <div class="toctitle2">ARTÍCULO ORIGINAL</div>
  <h1>Costos energéticos y de explotación del conjunto Tractor MF-275-Cosechadora KUHN MC 90S TWIN de maíz forrajero</h1>
  <h2>Energy and Operation Costs of the MF-275 Tractor-KUHN MC 90S TWIN Forage Corn Harvester set</h2>
  <div>
    <p><sup><a href="https://orcid.org/0000-0002-8570-0895" rel="license"><span class="orcid">iD</span></a></sup>Pedro A. Valdés Hernández<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content">Universidad Agraria de La Habana, Facultad de Ciencias Técnicas, San José de las Lajas, Mayabeque, Cuba.</span></span><span class="tooltip"><a href="#c1"><sup>*</sup></a><span class="tooltip-content">✉:<a href="mailto:pppvaldes1968@gmail.com">pppvaldes1968@gmail.com</a></span></span></p>
    <p><sup><a href="https://orcid.org/0000-0003-1769-7927" rel="license"><span class="orcid">iD</span></a></sup>Pedro Paneque Rondón<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content">Universidad Agraria de La Habana, Facultad de Ciencias Técnicas, San José de las Lajas, Mayabeque, Cuba.</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-9894-9032" rel="license"><span class="orcid">iD</span></a></sup>Pascual Daniel Crespo Torres<span class="tooltip"><a href="#aff2"><sup>II</sup></a><span class="tooltip-content">Universidad Politécnica Tecnológica del Estado de Trujillo, Estado Trujillo, Venezuela. </span></span></p>
    <p><sup><a href="https://orcid.org/0000-0001-9603-2856" rel="license"><span class="orcid">iD</span></a></sup>María Victoria Gómez Águila<span class="tooltip"><a href="#aff3"><sup>III</sup></a><span class="tooltip-content">Universidad Autónoma Chapingo, Departamento de Ingeniería Mecánica Agrícola, Texcoco de Mora, México. </span></span></p>
    <br>
    <p id="aff1"><span class="aff"><sup>I</sup>Universidad Agraria de La Habana, Facultad de Ciencias Técnicas, San José de las Lajas, Mayabeque, Cuba.</span></p>
    <p id="aff2"><span class="aff"><sup>II</sup>Universidad Politécnica Tecnológica del Estado de Trujillo, Estado Trujillo, Venezuela. </span></p>
    <p id="aff3"><span class="aff"><sup>III</sup>Universidad Autónoma Chapingo, Departamento de Ingeniería Mecánica Agrícola, Texcoco de Mora, México. </span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c1"> <sup><sup>*</sup></sup>Autor para correspondencia: Pedro A. Valdés Hernández, e-mail: <a href="mailto:pppvaldes1968@gmail.com">pppvaldes1968@gmail.com</a> </p>
  <div class="titleabstract | box">RESUMEN</div>
  <div class="box1">
    <p> Se presenta como objetivo la determinación de los costos energéticos y 
      de explotación del conjunto tractor MF 275, la cosechadora KUHN MC 90S 
      TWIN de maíz (<i>Zea Mayz</i>) forrajero y el remolque, perteneciente a 
      la finca “La Ceibana” del estado Trujillo, Venezuela. Los costos 
      energéticos totales de la operación agrícola ascendieron a 804,77 MJ/h; 
      el componente de los costos energéticos de la energía requerida en el 
      combustible, representó el mayor valor de 600,37 MJ/h, representando un 
      74,6% de los costos energéticos totales, siendo muy significativo, donde
      el otro 25,39% corresponde a la energía requerida en reparación y 
      mantenimiento con 87,98 MJ/h (10,93%); materiales, fabricación y 
      transporte con 68,2 MJ/h (8,47%), lubricantes 30,02 MJ/h (3,73%), en 
      mano de obra 18,2 MJ/h (2,26%) y finalmente los costos energéticos 
      totales por unidad de masa cosechada ascendieron a 758,25 MJ/t. Los 
      costos directos de explotación totales del conjunto para la cosecha del 
      maíz forrajero ascendieron a 1 316,46 Bs/h. El componente de los costos 
      de explotación que representó el mayor valor, se reflejaron en los 
      mantenimientos y reparaciones con 1 047,2 Bs/h, representando el 79,54% 
      del total de los costos de explotación, quedando alrededor del 20% 
      repartido entre el salario del personal de servicio 156,25 Bs/h 
      (11,86%), la amortización de la maquinaria 112,13 Bs/h (8,51%) y de 
      combustible 0,88 Bs/h (0,0006%); los costos de explotación por unidad de
      masa cosechada 787,4 Bs/t y finalmente los costos por unidad de energía
      requerida total en el proceso de cosecha de forraje arriban a 1,629 
      Bs/MJ.</p>
    <div class="titlekwd"><b> <i>Palabras clave</i>:</b>&nbsp; </div>
    <div class="kwd">materiales, fabricación, transporte, mantenimientos, reparaciones, salario, combustible</div>
  </div>
  <div class="titleabstract | box">ABSTRACT</div>
  <div class="box1">
    <p>In
      the research carried out, the objective is to determine the energy and 
      operating costs of the assembly formed with the tractor MF 275, the 
      forage corn harvester KUHN MC 90S TWIN, and a trailer, in the farm “La 
      Ceibana”, state Trujillo, Venezuela. In this work the total energy costs
      of the agricultural operation amounted to 804,77 MJ/h; the energy cost 
      component of the energy required in the fuel represented 600,37 MJ/h, 
      the highest value. being 74,6% of the total energy costs, a value very 
      significant, and the other 25,39% corresponds to the energy required for
      repair and maintenance with 87,98 MJ/h (10,93%); materials, 
      manufacturing and transport with 68,2 MJ/h (8,47%), lubricants 30,02 
      MJ/h (3,73%), labor force 18., MJ/h (2,26%) and finally, the total 
      energy costs per unit of mass harvested amounted to 758,25 MJ/t. On the 
      other hand, the total direct operating costs of the whole for the 
      harvest of forage corn amounted to 1 316, 46 Bs/h. The operating cost 
      component that represented the highest value was reflected in 
      maintenance and repairs with 1 047,2 Bs/h, representing 79,54% of the 
      total operating costs, with around 20% distributed between the salary of
      service personnel 156,25 Bs/h (11,86%), the amortization of machinery 
      112,13 Bs/h (8,51%) and fuel 0,88 Bs/h (0,0006% ); operating costs per 
      unit of harvested mass 787,4 Bs/t and finally the costs per unit of 
      total energy required in the forage harvest process reach 1,629 Bs/MJ.</p>
    <div class="titlekwd"><b> <i>Keywords</i>:</b>&nbsp; </div>
    <div class="kwd">Materials, Manufacturing, Transport, Repair, Maintenance, Salary, Fuel</div>
  </div>
  <div class="box2">
    <p class="history">Received: 10/12/2021; Accepted: 14/6/2022</p>
    <p> Pedro Antonio Valdés-Hernández, Profesor Titular, Universidad Agraria 
      de La Habana, Facultad de Ciencias Técnicas, Autopista Nacional km 23 ½,
      Carretera de Tapaste, San José de las Lajas, Mayabeque, Cuba.</p>
    <p> Pedro Paneque-Rondón, Inv. Titular, Universidad Agraria de La Habana 
      (UNAH), Facultad de Ciencias Técnicas, Centro de Mecanización 
      Agropecuaria (CEMA), Carretera de Tapaste y Autopista Nacional km 23 ½. 
      San José de las Lajas, Mayabeque, Cuba, e-mail: <a href="mailto:paneque@unah.edu.cu" target="xrefwindow">paneque@unah.edu.cu</a></p>
    <p> Pascual Daniel Crespo-Torres, Egresado de maestría, Universidad 
      Politécnica Tecnológica del Estado de Trujillo, Estado Trujillo, 
      Venezuela. e-mail: <a href="mailto:pascual_crespo@yahoo.es" target="xrefwindow">pascual_crespo@yahoo.es</a>.</p>
    <p> María Victoria Gómez-Águila, Profesora, Universidad Autónoma Chapingo, 
      Departamento de Ingeniería Mecánica Agrícola, Texcoco de Mora, México. 
      E-mail: <a href="mailto:mvaguila@hotmail.com" target="xrefwindow">mvaguila@hotmail.com</a>.</p>
    <p>Los autores de este trabajo declaran no presentar conflicto de intereses.</p>
    <p><b>Contribuciones de autor: Conceptualización:</b> P. Valdés, P. Paneque. <b>Curación de datos:</b> P. Valdés, P. Paneque, P. Crespo. <b>Análisis formal:</b> P. Valdés, P. Crespo. <b>Captación de fondos:</b> P. Valdés, P. Paneque. <b>Investigación:</b> P. Valdés, P. Paneque, P. Crespo. <b>Metodología:</b> P. Valdés, P. Paneque. <b>Administración de proyectos:</b> P. Valdés. <b>Supervisión:</b> P. Valdés, P. Paneque, M. V. Gómez <b>Validación:</b> P. Valdés, P. Paneque. <b>Visualización:</b> P. Valdés, P. Paneque. <b>Redacción-borrador original:</b> P. Paneque, M. V. Gómez<b>. Redacción-revisión y edición:</b> M. V. Gómez.</p>
    <p class="copyright">Este artículo se encuentra bajo licencia <a target="_blank" href="https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES">Creative Commons Reconocimiento-NoComercial 4.0 Internacional (CC BY-NC 4.0)</a></p>
  </div>
  <div class="titleabstract | box"><a id="content"></a>CONTENIDO</div>
  <div class="box1">
    <nav>
      <ul class="nav">
        <li><a href="#id0x49ba80"><span class="menulevel1">INTRODUCCIÓN</span></a></li>
        <li><a href="#id0x212d780"><span class="menulevel1">MATERIALES Y MÉTODOS</span></a></li>
        <li><a href="#id0x2145a00"><span class="menulevel2">-
          Métodos para la determinación de los costos energéticos del conjunto 
          tractor MF 275, la cosechadora KUHN MC 90S TWIN de maíz (Zea Mayz) 
          forrajero y el remolque</span></a></li>
        <li><a href="#id0x212e380"><span class="menulevel2">-
          Métodos para la determinación de los costos de explotación del conjunto
          tractor MF 275, la cosechadora KUHN MC 90S TWIN de maíz (Zea Mayz) 
          forrajero y el remolque.Crespo (2015)
          Frank, 1998 </span></a></li>
        <li><a href="#id0x344c600"><span class="menulevel1">RESULTADOS Y DISCUSIÓN</span></a></li>
        <li><a href="#id0x344c880"><span class="menulevel2">- Resultados de los costos energéticos del conjunto tractor MF 275, cosechadora de forraje KUHN MC 90S TWIN y remolque.</span></a></li>
        <li><a href="#id0x355cf00"><span class="menulevel2">- Resultados de los costos de explotación del conjunto tractor MF 275, cosechadora de forraje KUHN MC 90S TWIN y remolque.</span></a></li>
        <li><a href="#id0x3b7bf80"><span class="menulevel1">CONCLUSIONES</span></a></li>
        <li><a href="#ack"><span class="menulevel1">AGRADECIMIENTOS</span></a></li>
        <li><a href="#ref"><span class="menulevel1">REFERENCIAS BIBLIOGRÁFICAS</span></a></li>
      </ul>
    </nav>
  </div>
</header>
<div id="article-front"></div>
<div class="box2" id="article-body">
  <section>
    <article class="section"><a id="id0x49ba80"><!-- named anchor --></a>
      <h3>INTRODUCCIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>La
        producción de maíz a nivel mundial es mayor que cualquier otro cereal. 
        Anualmente, es de 850 000 000 t en grano que se cultiva en una 
        superficie de 162 000 000 ha, con una producción promedio de 5,2 t/ha. 
        Los mayores productores son los EEUU y China con 37 y 21% del total 
        respectivamente, siendo EEUU también el principal productor de maíz 
        forrajero con 2,6 000 000 de ha cultivadas, o sea menos del 10% del área
        destinada al maíz en grano, seguido de Alemania y Francia de la UE. La 
        producción de los países mayores productores del maíz en grano asciende 
        a: Estados Unidos con una producción de 365 659 000 t, seguido por China
        (217 000 000 t), Brasil (75 000 000 t), la Unión Europea (68 346 000 
        t), Ucrania (26 000 000 t), y Argentina (23 000 000 t). Los tres 
        exportadores principales son los EEUU, Argentina y Brasil, según (<span class="tooltip"><a href="#B39">Yara-Argentina, 2019</a><span class="tooltip-content">Yara-Argentina. (2019). <i>Producción mundial de maíz</i>. <a href="https://www.yara.com.ar/nutricion-vegetal/maiz/produccion-mundial/" target="xrefwindow">https://www.yara.com.ar/nutricion-vegetal/maiz/produccion-mundial/</a> </span></span>). Estados Unidos cuenta con una superficie agrícola 
        de alrededor de 412 millones de hectáreas de las cuales 22,5 millones 
        cuentan con sistemas de riego, los programas de subsidios al productor 
        por parte de gobierno llegan a representar hasta 70% de los costos de 
        producción. El uso de tecnologías en sus campos agrícolas es muy común, 
        tales como maquinaria de siembra y cosecha, fertilizantes, insecticidas,
        semillas transgénicas, entre otros, según (<span class="tooltip"><a href="#B13">FAO, 2005</a><span class="tooltip-content">FAO. (2005). <i>Principales productores de maíz en el mundo</i>. FAO org. <a href="http://www.fao.org/" target="xrefwindow">http://www.fao.org</a>., Roma, Italia.</span></span>).</p>
      <p>Las
        gramíneas y leguminosas constituyen la fuente de alimentación animal 
        más económica de la que dispone un productor para mantener a sus 
        animales sanos, con niveles de productividad aceptables y entre las 
        variedades por excelencia se encuentra el maíz forrajero (<span class="tooltip"><a href="#B13">FAO, 2005</a><span class="tooltip-content">FAO. (2005). <i>Principales productores de maíz en el mundo</i>. FAO org. <a href="http://www.fao.org/" target="xrefwindow">http://www.fao.org</a>., Roma, Italia.</span></span>).
        En muchas fincas ganaderas se observa un deficiente manejo y 
        aprovechamiento de las pasturas, en particular lo referente al control 
        de la carga animal, sobre o subpastoreo, enmaleza miento y disminución 
        de la persistencia del recurso pastizal con pérdidas en la producción y 
        el beneficio económico. Se estima que no menos del 50% de estas pasturas
        se encuentran en estadios avanzados de degradación observándose en 
        ellas una disminución considerable de su productividad potencial (<span class="tooltip"><a href="#B14">Faría, 2006</a><span class="tooltip-content">Faría, M. J. (2006). Manejo de pastos y forrajes en la ganadería de doble propósito. <i>X
        Seminario Manejo y Utilización de Pastos y Forrajes en Sistemas de 
        Producción Animal. FUNDAPASTO y Facultad de Ciencias Veterinarias de la 
        Universidad de Zulia Maracaibo (Venezuela)</i>. X Seminario Manejo y 
        Utilización de Pastos y Forrajes en Sistemas de Producción Animal. 
        FUNDAPASTO y Facultad de Ciencias Veterinarias de la Universidad de 
        Zulia Maracaibo (Venezuela), Maracaibo, Venezuela.</span></span>).</p>
      <p>El
        estado Trujillo se encuentra localizado en la zona occidental de 
        Venezuela y abarca 740 000 ha, de las cuales solamente 130 000 ha se 
        utilizan en explotación con rumiantes. En la mayoría de los casos las 
        áreas de pastoreo están constituidas por gramíneas nativas de baja 
        calidad nutritiva, se encuentran mal manejadas y escasa presencia de 
        follaje de árboles y arbustos en los potreros; esta situación, 
        conjuntamente con otros factores psicosociales y tecnológicos, ha 
        generado un déficit de 60% en los rubros leche y carne (<span class="tooltip"><a href="#B33">Torres, 2007</a><span class="tooltip-content">Torres, A. (2007). Perspectivas de la producción bovina en el estado Trujillo. <i>Mundo Pecuario</i>, 3(1), 14-16.</span></span>).</p>
      <p>Por
        tal motivo es necesario la aplicación de las nuevas tecnologías para 
        alimentación de los animales fundamentalmente para las épocas de seca es
        necesario crear áreas forrajeras básicamente de gramíneas caña de 
        azúcar, kingrass, maíz, pastos, especies leguminosas, entre otras, lo 
        cual genera una alta demanda de equipos mecanizados para el 
        procesamiento de estas nuevas fuentes de alimentos en las unidades de 
        producción ganadera. Estos equipos asumen un importante papel dentro de 
        las unidades, ya que durante el desmenuzado de las plantas y tallos, 
        realizan su ruptura física, debido al alto contenido de fibra, lo que 
        facilita una digestión más rápida y contribuye a un mayor aporte de 
        nutrientes al rumiante y a su vez favorece a mayores consumos, por lo 
        que resulta necesario garantizar la calidad del trabajo, con partículas 
        menores a los 15-20 mm para consumo fresco y por debajo de 5 mm para la 
        fabricación de piensos según <span class="tooltip"><a href="#B12">Delgado (2005)</a><span class="tooltip-content">Delgado, J. (2005). <i>Experiencias en el uso de forrajes de calidad en un sistema intensivo de producción lechera</i>.
        XI Seminario Manejo y Utilización de Pastos y Forrajes en Sistemas de 
        Producción Animal, Barinas, Venezuela, Barinas, Venezuela.</span></span>; <span class="tooltip"><a href="#B38">Valdés et al. (2012)</a><span class="tooltip-content">Valdés, H. P. A., Martínez, R. A., &amp; Pérez, P. J. (2012). Análisis de la caña de azúcar como alimento para el ganado. <i>Revista Pre-Til de la Universidad Piloto de Colombia</i>, 10(26), 59-74.</span></span>, aspectos a tener en cuenta para la adquisición de dichas máquinas.</p>
      <p>Por
        otro lado para ser cosechados y procesados estos cultivos en las 
        unidades ganaderas, las mismas deben contar con maquinas cosechadoras y 
        picadoras de forrajes que se adecuen a las condiciones de explotación 
        específicas de cada unidad de producción de la finca, para esto se 
        considera de vital importancia la deter minación de los costos de 
        explotación y energéticos de las labores agrícolas en general y en 
        particular de las labores de cosecha de forraje, ya que la disminución 
        de dichos costos depende en gran medida de la correcta utilización de la
        técnica para la ejecución de las labores, del desarrollo de nuevas 
        máquinas y sistemas de uso de ellas, especialmente de factible 
        producción nacional que satisfagan los requerimientos de las demandas 
        actuales y futuras que a la vez garanticen inversiones mínimas, efecto 
        económico positivo y plazos satisfactorios de recuperación de las 
        inversiones (<span class="tooltip"><a href="#B37">Valdés et al., 2017</a><span class="tooltip-content">Valdés,
        H. P. A., De las Cuevas, M. H., Rodríguez, A. D., Gómez, A. M. V., 
        &amp; Delgado, R. R. (2017). Análisis comparativo de los costos de 
        explotación de dos máquinas picadoras de forraje. <i>Revista Ciencias Técnicas Agropecuarias</i>, 26(2), 4-11, ISSN: 2071-0054.</span></span>). </p>
      <p>En relación a dicha temática varios autores han realizado estudios en esta dirección como <span class="tooltip"><a href="#B23">Lora et al. (2012)</a><span class="tooltip-content">Lora,
        C. D., Fernández, S. M., Ramos, G. R., &amp; García de la Figal, C. A. 
        E. (2012). Factibilidad económica del empleo de las herramientas de 
        agricultura de precisión en la Empresa Pecuaria “Niña Bonita”. <i>Revista Ciencias Técnicas Agropecuarias</i>, 21(4), 19-23, ISSN: 2071-0054.</span></span>,
        determinan los parámetros de explotación y económicos en el corte de 
        forraje con diferentes máquinas cosechadoras. En su trabajo evalúan 
        comparativamente el cumplimiento de los parámetros de cal idad de 
        trabajo, tecnológico, de explotación y de factibilidad económica, de las
        cosechadoras de forraje JF modelo FH -1450 y CAPIMENTA modelo 1510 PR 
        para la renovación de la co sechadora actual, la FRAGA modelo P-150 en 
        las condiciones de la Empresa Pecuaria Genética “Niña Bonita”, los 
        resultados obtenidos indican la factibilidad de empleo de la cosechadora
        de forrajes JF modelo FH -1450 al cumplir con los parámetros de calidad
        de trabajo, tanto para la producción de forraje verde para el consumo 
        fresco por el ganado vacuno, como para la producción de forraje para su 
        conservación en forma de ensilaje. </p>
      <p> <span class="tooltip"><a href="#B7">De las Cuevas et al. (2005</a><span class="tooltip-content">De las Cuevas, M. H. R., Hernández, R. T., &amp; Paneque, R. P. (2005). Costos de explotación de la labranza conservacionista. <i>Revista Ciencias Técnicas Agropecuarias</i>, 14(3), 49-54, ISSN: 2071-0054.</span></span>, <span class="tooltip"><a href="#B8">2013)</a><span class="tooltip-content">De
        las Cuevas, M. H. R., Rodríguez, H. T., Paneque, R. P., &amp; Díaz, A. 
        M. (2013). Costos de explotación de una máquina de siembra directa. <i>Revista Ciencias Técnicas Agropecuarias</i>, 22(1), 12-15, ISSN: 2071-0054.</span></span>,
        determinan los costos de explotación para la labranza conservacionista y
        para la máquina de siembra directa SUP-PN8 modificada, obteniendo los 
        costos horarios (peso/h) y por unidad de área trabajada (peso/ha), así 
        mismo <span class="tooltip"><a href="#B27">Olivet et al. (2012)</a><span class="tooltip-content">Olivet,
        R. Y. E., Ortiz, R. A., Cobas, H. D., Blanco, B. A., &amp; Herrera, G. 
        E. (2012). Evaluación de la labor de rotura con dos aperos de labranza 
        para el cultivo del boniato (Ipomoea batatas Lam) en un Fluvisol. <i>Revista Ciencias Técnicas Agropecuarias</i>, 21(4), 24-29, ISSN: 2071-0054.</span></span>,
        evalúan la labor de rotura con dos aperos de labranza para el cultivo 
        del boniato en un suelo Fluvisol empleando los gastos directos de 
        explotación. </p>
      <p>Por otro lado, <span class="tooltip"><a href="#B20">Gaytán et al. (2005)</a><span class="tooltip-content">Gaytán,
        R. J. G., Muñoz, G. F., Chávez, A. N., &amp; Capulín, Q. J. A. (2005). 
        Evaluación comparativa de los tractores NH 6610 y JD 5715T en los 
        aspectos técnicos, agrotécnicos y económicos. <i>Revista Ciencias Técnicas Agropecuarias</i>, 14(4), 14-23, ISSN: 2071-0054.</span></span>, realiza una evaluación comparativa de los tractores NH 6610 y JD 5715T con el empleo de aspectos económicos y (<span class="tooltip"><a href="#B23">Lora et al., 2012</a><span class="tooltip-content">Lora,
        C. D., Fernández, S. M., Ramos, G. R., &amp; García de la Figal, C. A. 
        E. (2012). Factibilidad económica del empleo de las herramientas de 
        agricultura de precisión en la Empresa Pecuaria “Niña Bonita”. <i>Revista Ciencias Técnicas Agropecuarias</i>, 21(4), 19-23, ISSN: 2071-0054.</span></span>),
        determina la factibilidad económica del empleo de las herramientas de 
        agricultura de precisión en la Empresa Pecuaria Niña Bonita.</p>
      <p>Por otro lado se han realizado estudios relacionados con los costos energéticos. (<span class="tooltip"><a href="#B31">Ramos et al., 2012</a><span class="tooltip-content">Ramos,
        G. R., Cruz, S. M., &amp; Navarro, R. I. (2012). Determinación del 
        costo energético de la cosecha de forrajes para el ganado vacuno en 
        Cuba. <i>Revista Ciencias Técnicas Agropecuarias</i>, 21(1), 73-78, ISSN: 2071-0054.</span></span>)
        determinaron los costos energéticos de la cosecha de forrajes para el 
        ganado vacuno en Cuba, evaluando las máquinas Fraga modelo P-150 y la 
        SPKZ-160. <span class="tooltip"><a href="#B9">De las Cuevas et al. (2009</a><span class="tooltip-content">De
        las Cuevas, M. H. R., Rodríguez, H. T., Paneque, R. P., &amp; Herrera, 
        P. (2009). Costos energéticos de un conjunto tractor-máquina de siembra 
        directa. <i>Revista Ciencias Técnicas Agropecuarias</i>, 18(4), 8-12, ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B10">2011)</a><span class="tooltip-content">De
        las Cuevas, M. H., Rodríguez, H. T., Paneque, R. P., &amp; Díaz, A. M. 
        (2011). Costo energético del rodillo de cuchillas CEMA 1400 para 
        cobertura vegetal. <i>Revista Ciencias Técnicas Agropecuarias</i>, 20(3), 53-56, ISSN: 2071-0054.</span></span>,
        de un conjunto tractor-máquina de siembra directa y de un rodillo de 
        cuchillas CEMA-1400 para cobertura vegetal respectivamente, así como (<span class="tooltip"><a href="#B36">Valdés et al., 2016</a><span class="tooltip-content">Valdés,
        H. P. A., De las Cuevas, M. H., Gómez, A. M. V., Rodríguez, A. D., 
        Vázquez, Q. L., &amp; Suárez, L. R. (2016). Determinación del costo 
        energético de la picadora de forraje MF IIMA modelo EM-01 perfeccionada. <i>Revista Ciencias Técnicas Agropecuarias</i>, 25(2), 17-21, ISSN: 2071-0054.</span></span>, <span class="tooltip"><a href="#B35">2019</a><span class="tooltip-content">Valdés,
        H. P. A., Chuairey, C. M., Gómez, A. M. V., De las Cuevas, M. H., 
        Vázquez, Q. J. L., &amp; Fernández, G. T. (2019). Costos energéticos del
        tractor Belarus 510 y picadora de forraje JF-50. <i>Revista Ciencias Técnicas Agropecuarias</i>, 28(3), ISSN: 2071-0054.</span></span>),
        en la determinación de los costos energéticos de la maquina picadora de
        forraje MF IIMA modelo EM-01 perfeccionada con accionamiento eléctrico y
        el tractor Belarus 510 y la máquina JF-50 respectivamente.</p>
      <p>Otros autores como <span class="tooltip"><a href="#B29">Paneque et al. (2009)</a><span class="tooltip-content">Paneque,
        R. P., Miranda, C. A., Abraham, F. N., &amp; Suárez, G. M. (2009). 
        Determinación de los costos energéticos y de explotación del sistema de 
        cultivo del arroz en seco. <i>Revista Ciencias Técnicas Agropecuarias</i>, 18(1), 7-10, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>,
        realizan la reducción del costo energético para la labranza/siembra, 
        utilizando sistemas conservacionistas, para las operaciones agrícolas 
        mecanizadas más comunes en Cuba. De igual manera <span class="tooltip"><a href="#B28">Olivet et al. (2014)</a><span class="tooltip-content">Olivet,
        R. Y. E., Sánchez, G. V., &amp; Parra, S. L. R. (2014). Balance 
        energético de tres tecnologías de labranza en un Vertisol para el 
        cultivo del tabaco (Nicotiana tabacum L.). <i>Revista Ingeniería Agrícola</i>, 4(2), 35-40, ISSN: 2227-8761.</span></span>, realizan el balance energético de tres tecnologías de labranza en un Vertisol para el cultivo del tabaco, <span class="tooltip"><a href="#B3">Cadena et al. (2013)</a><span class="tooltip-content">Cadena,
        Z. M., Campos, M. S. G., Demuner, G., Zermeño, G., López, S. A., &amp; 
        Gaytán, M. T. (2013). Uso de energía integrando Sistemas de Labranza y 
        Mejoradores de suelo en zonas semiáridas de México. <i>Revista Ciencias Técnicas Agropecuarias, 22</i>(Especial), 54-57, ISSN: 2071-0054.</span></span>, estipularon el uso de energía para tres sistemas de labranza (convencional, vertical y cero).</p>
      <p>Los
        estudios mencionados han estado dirigidos a otros tipos de máquinas 
        dentro de las cuales no se encuentra la maquina cosechadora de maiz 
        forrajero objeto de estudio, utilizada en el procesamiento de forraje 
        para la producción de alimento animal.</p>
      <p> Partiendo de estos antecedentes se desarrolla la presente investigación, que presenta como objetivo: <i>Determinar los</i> costos energéticos y de explotación <b> <i>del conjunto tractor MF 275, la cosechadora KUHN MC 90S TWIN de maíz (Zea Mayz) forrajero y el remolque,</i> </b> como alimento para bovinos en la Agropecuaria La Ceiba “La Ceibana”, del estado Trujillo, Venezuela.</p>
    </article>
    <article class="section"><a id="id0x212d780"><!-- named anchor --></a>
      <h3>MATERIALES Y MÉTODOS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>La caracterización de las condiciones naturales de la parcela experimental se realizó de acuerdo a la norma <span class="tooltip"><a href="#B26">NC 34-47 (3003)</a><span class="tooltip-content">NC 34-47:03. (3003). <i>Máquinas agropecuarias y forestales. Metodología para la determinación de las condiciones de pruebas</i> [Norma cubana]. Oficina Nacional de Normalización (NC).</span></span>.
        Las investigaciones empíricas se desarrollaron entre abril y mayo del 
        2015, en la Finca “La Ceibana” perteneciente al municipio La Ceiba, 
        ubicado en la zona baja al oeste del estado Trujillo y al este del Lago 
        de Maracaibo, en los Andes de Venezuela, según se aprecia en la <span class="tooltip"><a href="#f1">Figura 1</a></span>. La altitud de 2 msnm, una precipitación media anual de 600 -1000 mm y una temperatura media anual de 30 <sup>o</sup>C, obtenidos según (<span class="tooltip"><a href="#B22">INAMEH-Venezuela, 2015</a><span class="tooltip-content">INAMEH-Venezuela. (2015). <i>Climatología del Puerto La Ceiba</i>. Instituto Nacional de Meteorología e Hidrología (INAMEH). <a href="http://www.inameh.gob.ve/" target="xrefwindow">http://www.inameh.gob.ve/</a> </span></span>; <span class="tooltip"><a href="#B34">TURITRUJILLO-Venezuela, 2015</a><span class="tooltip-content">TURITRUJILLO-Venezuela. (2015). <i>Municipio la Ceiba</i>, Estado Trujillo, Venezuela. <a href="https://turitrujillo.wordpress.com/municipio-la-ceiba/" target="xrefwindow">https://turitrujillo.wordpress.com/municipio-la-ceiba/</a> </span></span>).</p>
      <p>Se utilizó en los ensayos experimentales el 
        conjunto formado por el tractor MF-275, la cosechadora de forraje KUHN 
        MC 90S TWIN y el remolque para la recepción de la masa cosechada de maíz
        forrajero, de semilla procedente de Colombia variedad MB 258-CG, según 
        se aprecia en la <span class="tooltip"><a href="#f2">Figura 2</a></span>.
        El área cosechada fue aproximadamente 5 ha, con un promedio de 80 cm 
        entre surcos y 30 cm entre plantas lo que permite densidades de 6 
        plantas/ m², alcanzando alrededor de más de 50 000 plantas/ha. Se empleó
        un Tractor Massey Ferguson, con una potencia de 56-63,25 kW, con una 
        masa de 3 953 kg y la cosechadora es accionada por el árbol toma de 
        fuerza del tractor a 540 rpm, el órgano picador se mueve a 1000 rpm, con
        10 cuchillas picadoras, cosecha dos filas de maíz simultáneamente, una 
        longitud de trituración de 4-6 mm y una masa de 550 kg, según <span class="tooltip"><a href="#B6">Crespo (2015)</a><span class="tooltip-content">Crespo, P. (2015). <i>Determinación
        de los indicadores tecnológicos, costos energéticos y de explotación 
        del conjunto tractor MF 275 y la cosechadora de maíz forrajero KUHN MC 
        90S TWIN</i> [Tesis para optar por el título de Master en Maquinaria 
        Agrícola)]. Universidad Politécnica Tecnológica del Estado de Trujillo, 
        Venezuela.</span></span>. El remolque consume una potencia de 22,35 kW y
        una carga máxima autorizada de 15 000 kg, con una masa (tara) de 4 600 
        kg, según (<span class="tooltip"><a href="#B1">Agroterra, 2015</a><span class="tooltip-content">Agroterra. (2015). <i>Especificaciones de remolque o tara de pequeño tonelaje</i>. Agroterra. <a href="http://www.agroterra.com/" target="xrefwindow">http://www.agroterra.com/</a> </span></span>).</p>
      <div id="f1" class="fig">
        <div class="zoom">
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vFvc4hbN%20R+X/AMmYmQ8TFce35T40E93n8jcApLW6j+YIbGiA5pd5lM/P+NA5miaauj/h7ZvcCgm0yTvQ3ToE%203jUROabVPrfN/FQmS6DxfB+cMZTUXEPf0+605Oeh1IBKl5pA7fPQLtquceXvaRGIs8CiMv4hAWEa%204CWZPAJRP5d9X+r/8zeaxveZMaRd7Q3RZhrIbnItHdvePQWWBqW68BKMgBFVM42FxlzHhAZIXBjy%200EXyZvKrl0ixegGEXJizn3rxK/VtYJZ8R/1lg9By/OQS6WZcQJXk31/GBsjq5X4A5adexh6mlk0I%20cPlmFr2YEOtVc4t8DiQTPg6gaDuAnSmNtkkrpP0x0dFaQ3v5VUMXs9ztb3/783wFWGhufuoVkyEN%20z08u/rl6bSLqLmsvTNRcYrJooF8Jv68m02rKrP1LuaVaKkqfE5iCfgQUwpT3eofvCCCEDJ8JckEn%20QB3N1Z4Qragta9szKWsV8BoCAcybACUUX1s0U+Pg7/RcyrF85jOfaYICAeEHfuAHWvuiVfkUjV+f%20zIu+++y3fuu3GsihgwAhwh6tlonWOpFQzSc8lBOXz4zVHqFlsxRYz0zehEBmaz8EJHTg3yWc0fCt%20CYJn5s34jMl6i+CQ71hFWFwIn9Y/Qe1QNOxF9/XxvtkUWBqUesbs/4ncsnHj9GdCs6FsrjBq3/XS%20Vdob6whdZYJjXtMfG5yGgakBsmWvIWl8mbYWNV1Eesb8bF59p5XSsDAHTI7/hyaFYcSvtUyf9vEZ%2068i4+SAxywc/+MENQGmuogJpxrRTjFoQBgbNd0nDZqol6NDwzD1mzYyM2dI00fGd73xnY6C0ZUyS%205o9R8mcCKt8BECZh/jf3ASHvwnz1jQbq/+Yg62NImzCHfJsiQCV/+/mZn/mZ5p8UOUoj9VsQi7B8%20ewpwifAkaNBarWnvN07mckIhQUMfjYtmbuzWAWsGMLVGWAnQEBjUqiGZ84C04B+BMKI1AZr3oKH8%20RGsREFp3fgD6Pe95z0YbeYFZ0+aJVeXpT39661NAj5VAygfAFBlqfmJhqWbSfVyHxz6tjwIzQWnR%20KCeLyqaPJJjyPP5PMvM9xp9Q6mmAZFizvlvfsP+upfSN41/0GGnOJiGtkUCj3Y3ZEL0paFmwnUWH%20Oi/J/wpzzsbXf1c1/WBg08w+6ec8+s+KhtqmQFHXgnmkJWDgmDVQYqLkI5M3FV+lZ4CKYBjmXZ/T%20LJVPIvnTAggnQEcAC+YLGDBwzJfmA+wxTYIWrdxal0eGoWLEtA390JZ2AQdQESYPJDNPMU3V3wAD%20o2fSpt3SYLQPVJmqRZMy89LSCB/ARlAJEzM/pfnlf2SW9W5t0K59zreqXf8nKMqT4z8UZSp0HyAa%20U0yhmcvs4YAS4KGF0YTQibmbxuh+mpH2vcfe0W/309bq3o5Wm7XmN02ORQVNWVy0C1TNFevE0ZS3%20bu63v+2tRVMK6PTDrLkpqfqwL6SwiaKx2Yw2QMogYQ7R9KaBzNhxzGP2Y9rr26omsjCTvnDrtDyh%20sf3aF4Gi0sv4mYKYkgAHQAJSIhSZjsxlwtGZODFVpl/mYdI8wCAwASZrAQiJHpSwjfm6+Ov4QGlS%20PgMYj3rUo5oQA4jcmxQC/lWRoIlYlMQsraAKKFXQyd/aB4r8dnLjCEdMYxi1d9AaAJ8xCSQxp4QP%20fkT9wvyBI5DQP1qXv138kRg9UzZQAhyCbJjcRJYCD5+jzyxhFMChGUEO6AAmtPUbYFsftDKg5G9C%20UyJfM35rkwBYP49/NfUUE0EaQBvSMMfsmeO9h0OBtYDS4Qz3vD2NH8EGsEHCcJlHFtUS93Xsvd+l%20Sqr72udV+kVbEpyBOUti5hPkJxHhmfJW2k/ZJ0yd6Q2TxvSZlGgXTG7uIfFj8DQMa0M6AgDAPMN8%20JShj7nyZAELOF4CkeZxzzjnNlGeN0briH020Wa9xYr7MijQypitaHKYvIAbTZwIjNDF76a9gG/3w%20G7gAZW0bj76IAPW9/vo/AAXGAMUzwFvUKPMmAPFcEqazVqJ116K9NDM+LKBrjaEbOtIeaW/GDOC0%207/J+YIt23u1Zvi1Cg4or6EVoMFfaVPg35b3MAZOlK0Egq6yR47OHQYGdgNK+MPyYUmrUU5zBtVbd%20YUzleXs5ROOhz2IWCfPqK0/s49iHxoGp0wpoQPEBYdLSBWgSfDFy3viaME5ajOhGvg5+KPcBIz4W%20ICQqkaaSyvbAh7/F5f00Kr4i2oWLv45Wg458TzQJ4Ii+Amf8VO2o1ziZr5gWBaQIVKGN8a8YE6ZN%20i2MGNE7mOeZBuWv6ShOjqclfw+T5kSR6AzhjBcoA170CJLQDHIyVH0n76AAA08e+r/Ez0T75ggAw%20wDcudADM0iX41ewdYK49kaI+o3lqQ58BkER5AQ00P/0yJuZNoAfo0EAeHTCL8LhJvjHGYjCvH2Pa%202sf9tUyf5tGkb3MWjXYCSssMehPPxKRVCVqDMMYSehN93GSbkYQtkERBJWx3k+/dRNuYI0DFIGkN%20kpKNhU+JOQl4CFrg96AVuJfDn/kNc6YJ0UiAiucwd74aeWU+48D3DI0A4wRQGHH8qNYS/xNg8jeg%20YxJGW89ES4vW0dOAliExWZBCLonh+uIZPzQZJkImNMw+eXp5RhX4rGnaVIQt5kAAEn+R+5nbaCXA%20zhVLAS0n76zr39/aS3mvnEWWdAJVRKQcJMoREOonEBIIwTyaSv3GYhzelTWYdxpDUikiAKChcZ30%20/biJfXGIbZ5qUJq2yE/D4o+kIiwYI8FMc5DgIS3k+BqSS6bvKd1Ux+Gz/vOE2AOdBIbkmTBXkXn1%20EnHnYuLFpANKGHBSFHKkCGk/jDXMd5oGCyT8+D6aQfW5xOyYQyoBop9cngOqfgcwwsgBr59cKfsE%20HHIYZEBnSFALmKXvfG4590xf/Xiu709oCMT95IrW1acLZC7T76qtHdKaPPZ1NQqcalBajXSH/zRg%20oiEwd4nkOgTT3TSq1zOoMo6eqSVoJcxPW5HC+0TOmHYToZl8prSBsfs7mk9tM0CUe6ZpnzX6LM/U%20CgcBvGiy3pH+1Lyqat6qOT0Zf9pJUq/+JLcr91TtaJppJaHboVUANG3FFFyBN33L+ELzgFlPmxrB%20GyA//J12HMEYChxBaQy1Tsi9lekI8hAezPmds5syzEOxjQcc+ukZ6v+Q9N0/X5+rUYs1eGTo855u%20YbhjNPI+ebX2pfazfl6fAZK9qStAOtR2wHbWnPd0DOgHLCvd866hrTJtLPXeKhjVvp0G68UJYS8r%20D+MISiuT8LAbwMDk0myjHNBhU2q53u+CmY5555h7l6PA8k/tc9+WH9XxyXkUOILSPAqdsO9jZkrJ%20GgmWfCHq2B2vIwWOFDhSYNcUmAlKmzLf9O0eJaL1LYNZJitvqaAk8krYsDJE+W5eT2bN1abWyyJm%20uVn9Pq6vebO6H99vev2sax1sup/7MRvjerFOmhw1pXG0P/i7qx9A5QH5NYlCOzqWD356jwM4UuDg%20KXAEpYOfwvEDiFQjB0d+jOMpEkl1yBF44ylxfOJIgSMF9o0CewFKVfVbl4q9b4Tel/5UWstRkp8U%20IOoB6aTMxdFcvC+rb7sFl1c1++4P1U5XT/YClE4XyXc/2uSyCAcXCn68jhQ4UuBIgX2hwBGU9mUm%20ttSPmpwpA9+RHUriOHxQ6ZwEQqzTcbmloR1fc6TAkQIngAJHUDoBkzgPQGrSZ0rGGLYwcPXUVB5Q%20583BdT6bBUzz3nUI5Jw1hpNistyXeTgJ62VfaHla+nEEpdMy018YZyoCpFQNAFJfTTFN5/hIoM1J%20trWEzCki0XGoRwocKbBjChxBaccTsO3X1xptimr+4R/+YavoICzcgW8SaVP5uS9Ls+2+Ht93pMCR%20AqePAnsHSsdIqfmLcKxJpJqkap6SUz4df/CBD3xgcvWrX70dm1CPsp9Vx0wve1PX2H7NH+n275iX%20fLz9Hh3eG0/COjg8qp+cHu8dKJ0c0u7/SIDSd3zHd0yUGnJqqwoPjtx23lCOXcgoamLt0e+y/3N7%207OGRAodKgSMoHerMrdBvkixgUYzVCayvec1rGiA5jO4bvuEb2qFsjt52+mnOvOkrPCeK7ygVrzAR%20x0ePFDhS4IsosPegdDSnrD/hsJrlHEMNnPiW+JMc4e2o72c/+9nt1FXHav/RH/1RAy8nt/78z//8%205Da3uc2ZKhBWVI3um7bHDhm8jsnd0znnIc/rEQ/2kwJ7D0r7SbaT0ysmPAEPDvrL5WjxS17ykg2M%20nKgq8IGvyZHiv/M7v9M0qbPPPrsdJ368jhQ4UuBIgXVS4AhK66TmAbbFPPdXf/VXk7/4i79ovU90%20HrDyw0yXYy0ueMELTp73vOdNbnKTm0zuf//7T5773OeeZ8QxC26CDPFpzSoaO3SA3yb6cmzzSIEj%20BTZHgSMobY62K7W8LZPRX/7lX7YjthMGnk4PHbftMxrT/e53v8kd7nCHyQMe8IDJjW50o6YxaYcm%20Nc2cMzY4orZTj9TWv3rkd/4/BhBn0XaeOeo0Jt7Oo8lKC33Ow33k6CbfdWx7PyhwBKX9mIed9eLL%20v/zLW9LsH//xH7c+DDGg+pl7Rew95znPmTzmMY+ZvOIVr5hc+tKXPuOTokmpEnGzm91s5TH1lcu9%20O/6wWi6p5lMFnGaB1FiAXHkge9RAT5chOoW2oVPSBJal26ICwyK+yT0i5bErG6LAEZQ2RNhDadbR%20FRJn3/Oe90yudKUrtaCHaReNyg/mIVLvWc96Vova+7Iv+7L2uZynv/3bv5085SlPmfzZn/3Z5B73%20uMfUtuad3VRLHWn7Va961eRjH/tYA8ArXvGK52kXoL7lLW9px3D4fp5kP6QpzeuPFy5yz67mve/b%20EA2ATQAH0EyLoEy1+Kot9+1XoaAGzgyNf1G6RQM+gtOuVtF+vPcgQWlbpq1tTdE8JrqJfoRRYEA/%208AM/MPnJn/zJFtgg8i4aUy8Z00iAViRf/1fUNQxb9N7Tnva0yS/+4i9Obn7zm7eSRfe85z3PPJPy%20RpXZTRtbvQcYffCDH2xg9G3f9m2TP/3TP5387M/+bANESb8veMELJq9+9atb/b4Pf/jDLe/qCle4%20Qru3N0MaL1Oje5gb6z3VJ6Wv9SgPY6apGXNlwruYu1nrod8btdYhWhi7cX3pl35pA9mMJ20at8Mf%20/+Zv/qbRRqBL1oNn/+AP/qAFxnzt135t+9wc5/tPf/rT7buv+7qvm/z6r/96E1a+6Zu+qb3P2vKd%20z9DR+71LlfrPfvazk6/5mq9pQsXnPve5yac+9am2Ds93vvOdETD2jc6b2JPHNv+OAgcJSsfJWw8F%20AkwYgE3/53/+540ZTGMAAKkCVR98kP9/3/d93+TJT35yCx//kz/5k8aEHJOhzp4Lk0o700xClfFj%20ZBid9wvMAFDMhAIwMD3M9uIXv3hjkJihOn5AR7h7BVAMGHN8/vOfP/nMZz7Txnqve93rTL8qVdOv%20mAYDUvl/T4f1zMhyrYRWv/RLv9SCUwDJJz7xiQYC3/u93zt529veNvnoRz/afIAx13qTsbzpTW9q%20c+M5plha87nnnju5wAUu0ASOpz71qZMrX/nKLQXgmc98ZgOTH/3RH20g4nnzgTaeVRnkIhe5SJtf%2077eern/967d0goc85CGTa17zmg3MFP71t/usD0KMubjYxS42ed3rXtfakyNn3XzJl3zJF1UOWY5K%20x6cOhQJHUDqUmdpAPwM+JNTUweMPmnb1AJLn8xszARAYFZDw8/u///uTt771rZPLXOYyTUrGIDE4%20kXyRsPv39eYeR2po+5d/+Zcn3/iN39hMhwDH7+/6ru9qP/KsvuIrvqIBjPdf6EIXakyzXvqJWf7q%20r/7q5LGPfWxjsL/7u7/b+ofJ6tOHPvShyTd/8ze39l2Oi3cYIgYNFJklhcVj2kksdl8ffLGB6Zrb%20pAhK9KV96C96ACHao3H7LdQ/9EUfGud73/vedmwJWngGjQWwRKNklkXX3/qt35pc5SpXaSADUKL5%20xtfHj/jJT36y0RDdmHKVrpLfhuY/9VM/NbnwhS/cnuOTvNa1rtWAB0Dpu+cIMu7xcwSkuVN+Im84%20eFDqpfplnbHbnt0x5oh1jjFtYaIx35CSAUaCHRalxZB5r/cHYPbXu971GnPEjJjeXvjCF7b/X+IS%20l2jAhbljchiUfpCmgRkzDuZG+8EoAYHnMawHPehBDSBI2e9+97vb5xjn93//97cfpkRmqJe//OWN%200f7gD/5gC8BgEtLWa1/72tYvWpM2tA18+Mke9ahHtc8x6Utd6lKtf5hqTFWSir3rXe96V9Ms3DNm%20Phel77z7ogUGEC960Ys2LQdA3+pWt5r89m//dus32gJw4OKqmiofHK2RYAKI3OMZtP/qr/7qySMe%208Yi2LtD4R37kRxrQuB+N0cWc+Q3IaV1//dd/3czBQM4coj0w9xkNzg+t6eMf/3hr3/te9KIXtTml%20gfm/SFDaMK0r66Y3M86jzbzvx/CJXcztvP6f5O8PHpRO8uRsa2wYCx9CdV4v8+7e4W3jY4DMQy6g%20dItb3GJy2ctetmknzE3veMc7GjhiSCRjZhy/+aKYfzBTQJVisQldV9FcQAVABTRACOP6yq/8yjMS%20tudoZUx2D3vYwxrY0ZAwRWCH4WG0nqMBABq1/5gf+diYrfhQaB0YPMatLaZEjJnm5vuA0q60pTBN%2041Btg9aL4aMlDYSWCgz6KEVzYi7QAM3NlSRqgKENJafQ27xpQ1uAHtBEOwww0jK/6qu+qt0ff5N7%20APl1r3vdJgC4oqUxu7qsux/6oR9qpljzJd2AcADIYi4+gsIyu/FwnzmC0uHO3co9z2bnXGbyIe2u%2086pMMAzbb8wd83R9/vOfb9K1XKdoTPqi3BETWhJ3a78wSSa7hz70oe0e4NJfgFYgg4AL1w1veMPJ%20r/3arzXpncmKhmb8V7va1RogYZ6SiEnqv/ALv9B8TfoJOIEShus3kMSwARLtC0MNg05k4raZaN73%20yle+smmAT3ziExsAAQD9zuX/+hhhIb+Bgb/9AGa+nYzJsSY+B0R+gHzAxu+8hwZl/SQ4JEEhNTAm%20/QidrAXfo7N3mAPvz0GTuf94hMo6d+X+t3XiQGmdpq51Tt86GdXYtuaZKjBrGz/S6zrHXduKCSZM%20yf8T7Vfvw5T4hOqVcOZI5gDHj2tofNrGGCNt07T8cKzTkgAgLe3tb397Y6Tap30BJsCDwfKdMM/x%20rQDOn/mZn2ngxpx4zjnnNGYqys+ljW0yT2NOMrNxMtsBctXeAXzoFHCoNOpNrBW0Ak4ZCw0qAFWf%20830AyDPxr+X5/PbMtNDzAJr14EobFTjHrvVF1241Y9dn+jGGztuc20XHcFLvO3GgdFInap3jignF%20BsS0MGcmKf6fMPl1M4Pa3lAE2zTGEObqdzXnzANa92NyfdAEs5YfFw0BsAAh2hbQ4W9iwmPCkvvE%20T0IzYuaiGbmA4Q1ucIPJ61//+uakd3Lvda5znfMw6dBxVj9XYXS1XdqMcHimRaa4MPeMX1+G5rP/%20LP+vv2swR945FEDS57fNeveQGbH2sYbir3PdT2srwFPHWv11694L2xjTIb/jCEqHPHsr9D0bjXmK%20uerRj370zMTZoVf1DH9Md7Lpp7Wbzyvzzd89o5/Wj9xXmUoYkM8SIZh3nf/85285M/wiTHp8SjQr%20Jr373Oc+LW/HxYxFI/FDY/KdoIh73/veZ4YzpLHX5NAxpr4hWvks75CvRbi4733v23xzQ7QbMzf1%203nngP4vRL/vObT8HJP0wH77kJS9p+W+EDabKSudt9+u0vu8IShua+X2WrtI3jJG0j9kKFY50X39X%208sRc1DOtMM0eQLKhAxphyhhATDa1skB9r++ZjjBbzEL4diIG3RdT4BDzr4ykZ6q+86y2qhnRfTRF%20Z0sJa+ZXcR9TmPs4+UX7pY957y1vecsJMANetCrmPgECKc3Ta4gxTYUR9suvmr88G9NXr524L+Yv%200Yz8XSIS0Qy9qlZZ21nHulwWqOZttVXbXWZsda1Iwn7GM54xufzlL99C1m984xufSa6ufV/mPfPG%20fvz+7ylwBKVTthqqVsE5LdqKWapPjB0iS5ggHwtmSaOopp5UT8izFfwqEw64xOQzZMbC1IUiawPD%209XuaWacyifw9pCXVMQ2ZoH74h3+4mcEAkwCGOOnRSZRYKqlXzcV7RJ6ho+RSfjn3kbh9JzoPmAEu%201dWFW4vcI4kbn9BrmhffWoI9MoYazTdNYme6UyJKjlAAyThzf3xxVXs67dJ/9RMREswzDVkaAFOs%20eRL2n4jUrPtTxip2NtwjKO2M9Lt5cQUlmw7AJEJrFiMPoxThJXrNRuaLufWtb92Yr7b4ZTBBjJIf%20hvbgOSHC3kPrwQRoFHw0mLHIP+HcnkvABUkfcxfhBohocUrY8AFh3D4HiN7xpCc9qSVhykHiE6Kl%20AICqYcySbHOf9wAX+UrGJxiiRv5hTNXnYPaq5mYsd7vb3Vp/0UI/jY0JSDvo5XO+O+PwfwAlWs54%20AZ/PBVcIcee3Qhc0SxCFPnlGTlbOv+ITE+bu+HrBGLWf0aZ6bbf69CptVtVU1r2iK/ivu+0Ak3mw%20Tp20bD07S8wadSyLdANRnsdruxQ48aC0qU23ryr8PMZSmTUmKSckAQ5DeTY9UAEEY7dxVQ+Q0yMo%20gPQv+VLVAGHXGCsJPhv96U9/epNGBQhgrJi1ZwCJxEnv+emf/ukGaBiy5EvPYu5MjJI4VSeXtKk6%20Ae0J+Lzvfe9rWo3PJMEa0wMf+MD27FiflzaBhsAPGk4FpSR+Vi0wjC0aXJgosLz2ta89dScDac8C%20Wz8ACYAZQxKM/TZe/r6XvvSlDYTlbamqoI+iA1WW0M7DH/7wyfvf//4WHs98iM7ojZaYbhKPAZ53%20e1/C76eZpWJGHDIfhq7LBGrMW5/V1NuDav4f0+8i2n0d37R3owdTHT8iwYr2qmSSKvjGCOxpodGY%20htrZV36wXThZz9tOPCith0wnp5X4c/yWD0RKTzTatI1VwYrG47mrXvWqzcwhQg2o+ZzJAyMUzi0S%20DDPkeMdwZehj7L4n1QMgm1uwAYaK0WLkAi8AHcaAueoTgMD4aSOYcpI9BSAIRgBcklslzkrurGa2%20eTMXU5a+6J8Qb4m9zG8SbuMbwpiEi1czmO8qICXibJrGWZlZpTWGBzD89GY2/r7kUQEUPyR4PjZV%20FiQZo58E3hRZlesj2RWDNQ/K9yjxoy1mPiAvPwvovuENb2gh7jREgoSwecnOgHXIjBifmH6OBf15%20cxEfn/uqNlfBL2sxJa2WBYP4JGmiaHrTm970TPe8w1xnvpd9x7zxHr8fpsARlE7Zyqi+GZoFpkrq%20nme6y/cACNBgei7AQVvxPaaHsQIYwMUBr8K34poqOQCM1LEj0WOGzHKOzKAV0JCY7TBFQIMxAiKa%20EEaBedCAXBgucItJz3eYNJDCXCtz9/c0xhKQDjiJqFPNQd9pdTHf9L6ZoWXTS9CztIKeoUczqf4e%207wQc6Dd0GS8QB4YA2YVZM8eiQy7h6sx9fgAX4OXDkpfFdMUESNt94xvf2BixkkDooFwRocF88H9l%20PlbZMtXnV81zWZf5Xl/9TUNk1iXYKKNk3tGqhpwv05/Q2R6QwG0NatPnTMBoFC2RsJL5WeZdx2fG%20UeAISuPodfB31wg6JgrMn2RdmWLPTG3UBDGkjA1CuI8/hwmKtJ92mEMAk6rUJFEMU2UFQJVK4Z4X%20YEHDAixhUCR1V2/Llxg666LtLWv/r+NlwsOIFQZVSFSbzEQ1v2ldi6C+N6bAmIhCb3RBwxpOHu2M%20BumqZX38P36oMFX9R/fQPuZajJcWlrmkVdE4MWEMGjDoF6CLL5EWSzAwp9rlyxNCDbTMZ7QafaDV%20oiPtmKBA8Kglirw3Gou/jdX7fcaEam3c6U53av49NQkFoMgh8+4+qGbsnGQfoEXfFiBEm2n5VN6V%20Z4ZM3mP7crz/vBQ4VaA0JC3Ps3FXcu2rGr/oGMJgMDVai+Md+F9yVfCpn4Vh+L6en5T3xvxng4Yh%20eiYMKCHKmKK/I7H7nvTdvytMMvQmzfO3kNhpWkAsl/ZqePiQxjdv3nrfhEKxSvUouHqXu9ylMWiM%20aqic0boYStVgtVkjDf2tj722pl9oUekRkyI6xPTY0yT/75NFYx7MmABy1oz6dbQrwEWr4hd0OcjR%20PIowdC+aCd4AJOaN9utz5125nInFf2Mt8P+l7wQZJlN+HG3SxplMPcuPmOMuBLaoXRghps7tvH3Q%20a2badwHaHMERIKKhDvnMgKY1xzSdAJSq/fURk+taH6epnVMFSqdpYiujz2atkVmCFGwsDDhSesBn%20Gp3qpq9MgZlHOK3PmI5UnsaUXPUoDL4euTRAzIbmx2AGFGyBOfkeQ6OpMAMy/ZHKmW4wMtK2itIY%20owg5viWMEkMLU1/G+Z7xxqTmPYIoBGxgttrGQL1nV1cPLExOTHcYNnNTD+R1TP3fiwhnVROI3/Ea%2017jGmeEz8/ncvGHohAV9BDbm3BzTjEQQ+l5QhsAXwgWTLdoyE/qb/9BcMwXf8Y53bOHyEX4CxNaB%206Eaal3lI+aO6DmeBUgSugIZ1ojSTABqBJPqfe3zHL8qS4Dwp61H/mEutB32RME2rD52y7mrppV2t%20lUN/7xGUDn0G5/S/rxxg42EIztDh56GpZDPPkzTrqyqTpPkw7wAjDnemO1JvQCkSOyZmc2OkPgNc%20QMbGJ4kzJQE3TAzDBZwYAPMgvwp/CEmcWYgpEJM766yzGrhWbSkMetmpzREaOeZd2zX8e9l2V3mu%20ChbaEblI25W8G410lfb7ua1M1rsTgZa8nqqhhTG7DzPv6xZqm99KkIUrmjJtBNgDWMdUCG23dlwx%20PdZ+qTsowMZBgADBM7n0K1p6BYYIGvmd3LhYCWhJ+paralPGKHgHEDJpWt9y2Qhh/Fw0y7zL+/1t%203TKrWq/+nz7N09bXNXcnoZ1TD0qHuFjGgEdvTsAQUgFbrlDdjGO1jLSdQ/tIm5hKztmhAelrjaSy%20uYELrYhvQKQb6VPQQ3wU2nNSqmAIWpHvOKJJyDlRFpjyVURSDxAtQpt5c46R6F89ZK76Pnax8Xtz%20FUACzE6WHWPCWgSwe/rkGAnP9hGGPnN/NWHVvyut8nnOvfKd4+z99Fd8a7Utn1kziQy0vgBbpU2N%20huzHYb3wfdHirCNCkNJQAfXcb10DGZq8yg7ew3Sctq1Pn7kisPhOJRDapH3AAlC/28WaOdR3nnpQ%20OtSJW7TfNkuAwWa7//3v38wSNltvAlm0zdyn3fzYgPwMNrMSPSLxaGQVJLyfKYSfhhkH46chCXFm%205gFWOUlWFN7LXvayBka0JW0zqWEU2hRSLuiC+W4RIBozNswpZY5qcdOxoD3mnfPuDZ1zHwaIOS8b%203DHvfdO+n0br+vki91RhqK6n/r1Vi49GRlsSXJGzl/igaN8uGl0qowMhAAS8gZDPrUn+qtve9rbn%20qUpefXjmOYBiLSRfLUIYM55UCPUiBUrkWed7ef8jH/nIM4JZrATL0vs0PnfwoDSGIc2TkPd1AYwZ%20Yz8GY7bBSIjybgCB4AZmMDZ10iKNKZJpzBzVjDGNLjYc5k1bYe/XNqnaRgUkTDPaiwmRlHv3u9+9%20mUKYQfIufq1I23wK+qId/c2VsPXMYXJ6EujQA8asue59Yz2DJAVjLoASQ+Kw98yQSWlba6ZqI8xH%20BAvmq4TIrxqNtq1xTAOdee+v6zG+K9VEhO4rRGuu+LCsSX5NQo06dtaFpGMa99lnn93MatZjPWpj%202lqvfjX3WJOelfdFIMjhlfrOnMokfoc73KH5PrO2dynIzKPpvn5/8KC0r4Tdl36FOT/72c9uTmVR%20UBitjcp09uAHP7hVDSBtRqvKhpo3hurHwRTqpY2a36EfNLN6Pk/1k6Sf+b76AqoJMMAQEO2PTJjX%2050W+5xMgiQNV7+H78v9dBjrod8KYCRjmEijlJN5DFbgWmY9eaMh6wPxFSdKinYtFM1JMVZAEE6E0%20AkEy5pBJje8InRI8EcCYRru+Uod+qGhCSycw1ahHfi7tJhgkwuBpmJcxc7jIvUdQWoRKJ+AeG1c4%20bkwRNi7HMYlSVQCaiJyjMPtFhlxNK2GalYFEuo8kOs3E00cwaSObuWoI+bs3ZS3S1zH3eA9JOkwL%20s6ORrTugYEyfKihFO8whh4u0s4jmu0g7/T3z2q3fz7t33vt7rYPW4jMCUS8UWVOAyE+uaOxV+Jr3%20Tt97R0ob+b+9UmmfAyD5UxOoUdfwIu843vP3FDiC0ilYDTYNST+nvMYUZXOSttnXn/e85zWTWjZV%20NuEY80OVCudJiP338+7f5jTlePBoYcySiqAmr2WbfanvCo2EY5ufJMOaz3rK7hAt+yjMZcYwpEHX%200kB9X2O6jcYRX8+65ro3OQMigJ3KDDVisgo5ywBGxkLb4stSZzARdzRo7+W7ija9qLVhmXk46c+c%20KlBaxTczdiGsa+ONfe8QE+OYBUpxBueebBwlZYRfC+tWuj8mjpjnFqVbP+ZZzw3RZ9H710nboXcC%20Zv4vfgiAJGl2EwEVY+ZWPytz93/mxTDY+EhCm2rmdE8NXZ713qrd9uvE/3tm6/7qo8kzAChmtgoI%20vXad74bmoe9Lf0/VoqPRMP/2wlE0tDECVn1X1bD48+RTAaXQNO3u0uc4Zi3t+72nCpT2fTI21T8B%20DUJUbSRXNk+iiZil2MKVcknmfrSERQFpU33fRbspOguYmO6Epsu7EiW4LwEFQEi0Yi5SOsEDgDLN%20RosguWe+Y5bsHf1ZB/G19GAQJp8cpR6sMGfvoU36rV+i3rKGaHY+i9lsrFAxRusYK+wssr7q+EWV%20ypGK79PzaC7IwpEs1k7O/1qk7eM9X0yBIyidsFVRgwcMzdEQ8nxud7vbncdPE3Ai0WJwwmxtKhWk%20RRANScUnjFRThwOIaCECNTBS9JmV1LktuoQ5p0/xrb3qVa9qCchAA5CqiCBRFTBxwKuSYUxq08nL%20CZjF/BSJP6ARs1fASW6bABk5UaowAD/vqRqQYq6Amw9HoVznEgEokXDeL0BAHTsMnQZK4yAk5URf%20oe3y1QQmMJExoSoYmwK/26Lx0Hsq0AEj4eXnnHNOsyokT0zRYPuHcHC8VqPAwYPSGJPRaqTa3dNj%20xhh/EYaEKcj1kdsTh2+VOuPAxYRsNsDEhCcAAtOZF1AwVuIdQ8FNtj2vHyLahLWT/DFz1zp8MvPe%20O+v7mMnMmXDk1OtTcUC+DAmd8x1TFPKv2oBK4Uy2wqbNr/I/D33oQ1tuk3HRoM21taGShs9pyrUe%20oWMxgJ4w6Nvf/vYtYhNTBm5yzqJlyf/5zd/8zaaRC7t2nhMmzV9J8FEVQYi2iuVASkUEeWbq2ClB%209OIXv7hVqKCti2xTvdszxqnPggvmrYl5369Cf8+mfWBqTOhBiwbC8sZYHGp9xAiIm+7XquPat+cP%20HpT2jaC77k+1s9vkmIVzj5JjoX+9GSWbR1Ih5iSxVtWH6kju/QMJhBjyF+yaBqu+H2MXdi3kOBW1%20k5Ol7TERiqv2Zeh5fWES008FQml1wCfHdwsXV+7GfDI30W48I/KS5iQJWWALTYTWpII7LUe5JtWx%20w1jN+ctf/vJmiqNleSbVLpzPBJQy/8Lm+d30gybl5FbaEGatD0K1aULAzeXsLICmn7RQZ2MJxadx%206Id30bKA1z5pH2gC8B1vAjQBMdoqfcVsV5NwNzH3p6HNIyidwFmOLR8DsLExIVeN0MqwA1Y2Gwal%202oLcJfdKZKU1VEkvjv+6+TzrfveNcSbvK+njU0plcPX6mEGdrIueu/azZT4wedoN4FQHEFOkHSvQ%20CpByOZ6EZuQ71TYAD8DQjiPgSfokfvdEM4xmIAiGpmTMEp+BIKBxWnDVHvjbAI9oTmuBUCN4xv9p%203cpGSfSlSQEi7wNiItn0S3vSEwCr+xxPzkR2q1vdqo1xn7QOYGrfAFA/LkKChGZReMdrNQqcOFCa%20pSqPZSb7qnZPM+fVz0luEgpr0dWEyvZLJkCCPkwvmBuTkGcVQ1W0EgPUHv+UTHY5T/wGAa2axDrE%20QIYip8Ys3fr8IubMVeaO2Y4mmJwuTFTpGAU5gVJlxmPX1Jgx13trgAWmLzxdpQkA5DgHP/rMtKRC%20Bl+H+1yCWJjvzBUQMn98jD43HgKG5GoaUo5qj5lXtQ9OfP41GhOmSxOqVbzR+vrXv37TaMKwme2u%20d73rNd+QZ/WHecu7gE40ejly8W3lLC19NgY/9erNyavM8bx5mNV2vqumcJqiSiCh+bz2j99Pp8CJ%20A6XTPtnxPbDpYyIk02zmCj6VTnUDupe5h9lG2RRHRJDCSbDymBTPZNri+ObcJtFihBhOIq769tY9%20J2EGAYQx0VmL9IWzHfPEjF2YKoa+Sy2wNxli/higH0KDaus9HcIgk5/mGdpwougqCCQys5plM481%20IZRgk/OzAs6eAXR+apJpTsN1X3Kq+kg/dI5pNCkIi8zRvtxT1+Kxzt16ZuUISuuh4161oq4dMMGo%20bJSUzw84TZMCqySK+TDH+CEBYhj11FjmIQ50h7KRnjEu0jOJnClGIVVMyrsSzbUsU+9BNcSuEuu6%20JoApSfUL5ii+kFzL9n1d/artoDGtJiHcPT1CbwCEdjVIo9ZzCwjUUPCARhVgKuNF86oJ5/4KZkNJ%20q7X/NUS9/u2eXvPMuzepFa1jjsyH9b5P62Qd49pFG6cKlPZ9YS+6AIZMYdnc/CEimZhm+Apc1f8z%20zywRplOl7pixwjTcQ3Pgc+KwZu5ipvnd3/3d5jwHhgIm+KdyrPQqPoFeA+DI52g3vnpEQA3ymGXu%20G9IScz+N0HgAecoKRZrfZVBHnTf9AUxVK6nmvdAhY6qMso6hzmf8gUMlePpnal8qzaM55fc6NNgh%20U9ki+2SeWXUML1jE9AyUzMeu6yMuQpt9v+dUgdK+T8Yy/euZr+oNNBsntS57zdNA8k6MkBPdj0vY%20rtNgVW9+85vf3PwcQtKF/aaa9RCzGHpfNCzthqkKE2ZWBH4YgAgoQQj8Ev2R5suO3btSaLMy814r%20Wbb9dTxXTV7zmO+i75tm2p33fA9YQ4A/r41dfD9LaFmFpmPAbhfjPoR3HkHpEGZpSh/jP7KJcvia%20KCfaQ+z+m65AkKKYfusHcGDGuMENbtACA+SciFpj5hP51Zt/ZjGxMEoVzVWD5uMSSShii7+HmfLh%20D39483PF/7PqdHqn/gPalO5Ztc11PR/NI8mztWjsut5xktv5e83NoYTTR1qtBbmr+vSmaYBH0916%20Vs8RlNZDx5200m8OiZTyOpwvU305m5LeartV0g5YiuQScPGEJzyhZb8z50nWrM+JbHMUgOcldwoV%20ZjZzj4g/YcWvec1rGsg++clPbtFjuTj4AYg2gFKtPRYz1LyJ6aViWpJ3iV50pIfgDsyfP22XIBXf%20jfEw0TITSZYVhOEaM8dj7p1Hv6Hvl9U0hvpV21rEjNb3pzc1DvVXLt8zn/nMtn4E+RCm4g8dEpqG%20TNE+41uta3AZ2h2fmUyOoHSgq6CaTQIITFuOasbYbZJNa0nTNnzAMnlR8lvkmiiFoyLALW95y6Y1%20+Vv1AdoPp7zqAcaSaCxRfpiuIzWAWfwocdDLz3FIIf/VRS960VbCJsc6LMsYLQcAJx/rne98Z6tI%20gI5CsPeF4QAlmqnxbhpgDnR7fFGADT+hOSUoASHVJQA7QegVr3hFu1+elJOZ5WVJ/iWgyNvyHNMx%20mgvosV5jmaj7sPevHSrtdt3vIyjtegaWfH8k52yED3/4wxOaEtMWE5rvU3izmsyWfN3ox7JZJRUC%20FgEPsv1VDnjEIx7R8mv4g5S1Oeuss1r7Nr8MeeY6gCakGMCm7I3PamSXccqPkbT4oAc9aPLYxz62%20RQAGFJcFJn4xPjCakv7QknadrV/BB4NVj27Z8Y2ezB09UCPzxq7hrAHPqbunLBJfq6hKwSy0YfP6%20hje8oWlGgnb8X+Sl8kGPf/zjW0KsNSqoRw4WYUBlC0JLQClaqrVIsDqa8FZfLEdQGkHDdTKBeRLu%20tHf5vM8lkWWvPphEV+Yml81ho4zdzCPIMfdWGk8Yi37TbBybLmJPyLpw86td7WqtHd8zmUiynHYl%20DyT2fW1jJBiIUko0LRUItFVNm7PmLfeGuWhbXg9pWLAGJpWE0l1FVlVTrP4pyWMN5NTZuRPxhRvm%20rbdF2sg9vUnN/6O99iblSt+sy1nvqs+jt3HSWCJ8VdPZtHnNmtcn2jZ/JLMc3+MnPvGJFpCjRJIr%20hXfTJ4cF0ugljltfgnYIU7SoWB70px7NER8fIepYZmjMShq+9whKq9Nwqy1kc4ZBM0UobCk82vHP%20YfCLMIBtdJzJLcwDk9FvJhCFOXONyWOqkmgYHt+KvKn3ve99rajsov6kAFE1wYTBqrQtklE9NlqS%20kN/4b7ZBt/4dlQHrhzD9VFXInK8TeBYdYy8ApA/pb8zIaW9WH0P73GseCVZMaKqJABbgUNf4tH7m%20PcpDff7zn2+RoOiljXqhZQ+kCtSKGvXummCc54YSjLVBg80ZV4vS73jfF1PgCEoHsiqqOSIlfRSE%20ZAPH5EWhVQDYl2FVZhqTRy3FEgm7r1gwr/+RhgEa5sVHJT9K9KF6ZPl+HqOe9j2NEwP84Ac/2DS4%20MK95/drU97WfTElMRSkWu0tfl36hP1+ewJTUC6xAv6iAlGeS7J3AEqAUf2lAaRadK8gwc6JV9kzN%207ao0rRqd8eQ9fXKvZ+paTRu0JzTY9enEm1p/22z3CEojqN2bwmJWye9svjDiGmhQTRyLSHq1W5E2%20w8BJ7yLaHCGg/hwbePJ0eqlvxPC2dmu0vWgqs8xrszpVtSZmP76Bxz3ucc1vFROL52eVf5n2bjXh%20VHSQE4Xe+lwZ2taI9YUXpY9hhrRjwDSLbvPAeEz/+/dUbUifmI9FWaqJxweo6jj6f+pTn2o+HME3%20tAj14fgS1exDU2Y0/kLmyASoEAAUixV8wMyrUjstlQkOuNC2e39OxpL9WfdAau9VkJxHm6rlVe2t%20b6PSxXf6VwuyznvPmDk4TfceQWnB2a627DxCVfd5TtWsm6NKh5HmA0ZjgSNSHAYgmIFTlv36UY96%20VIs6c4Vh7rujtQJST68Fp+I8t2kvUX6KjDLjMb3wCcSntQxzMLcpr8Tsg1nug78gknoP7MvQbtVn%20QldajL8FsAAe651g4MBIWry5ICyIwFSkVfi1qhyqjjjET/Ff9NaGgJgLXehCTUOleQElWirNVZQl%2036EglEUA2bpQt5E5LsdxhG5Dz/frJPfOWj/VggGQsg/H7vFV5+IkPX8EpRGzWReaTSOkmaOdxIcZ%20hmmRBGkunKwieGxGZgRSYcqRJAhhkdfbFKRDEqlcn0td6lItyq4GEizDeBd5977fY05IzxgQKRxg%20P+1pT2s+NlF0VZgYo5FhMNpVqJRJymmp+1AB2hiydiKV9xr8tueMGRF9aD9Z80zLNFfHXNCYaHYO%20HVRl3qF+zK00K2saMDHR2SvOUpJrJ9AE7RX9tb+MW1i2pOxZwkzdB6Ixve8BD3jAxs/A4uPT53rI%2037bn4aS87whKS84kjcWGI7U5t4hEKPTUxiRh20gSMIEJQLKhSJGiz0jd8yS9qh3ZaMKeleuRPCq3%20p9e6TisoGTdJOhKqquWkbkEfTJwYY2g5pO32dMs9QoGZ7kjuTECY7j5c+otZY/IOcRRxue2r+rBo%205sL6rW30dsqxNQqAJD3bF5Kc3WdPqJQhmlFUo+f8H80JFEKufSc1gGlaUrQcN7SXM6ZtodzVvFZN%20ajkCg18HEAl8EUkH6DZ1xawLkGhyMbEeNaXlKX4EpQVpF2k0+UGkOpvtZje7Wds0St5gZABHmHNM%20dhYriVAo6qLaUZhoNhxzhx/mDtUa6jUm0mzBoR7UbWiVWnDpOG0JYwLemCJJfFoi8ZC/xL0kdJoS%20BovhJsR+l8QJo+OEF3FYwWGTTHCewMMCgObyy2gMaAXM0c53QD1HY9gfTHnR/tGzpgFkHD4zvghw%20kqTrMfCZz5jYqolcaSuRk06vFc5Nw9WnChjz5nHemOvz2gWiLCTOI9u15jpvbPv+/RGUlpwhOQ8k%20dMzBD+lc7oM8BxuJtsS8YpP6jsZEYrOxAmxD2lLvPCUhOiLCRktOT7Sk+nvJYZyox6ompEgrYUGe%20iez8MMVpA66g9ZnPfKZpwZH6MThS+L6E+xJyAGVlnGOY6KqTXt+F5gEEQQ2uaCz1/9XXaS+84x3v%20aIKccdhLDo2sidGp0B6QyrEp1WdT2/S3AJDnPOc5rVDvC17wggZI7s/cjjHfjqEResiRYzFhlsQX%20tjkfY/p6CPfuBSjNM2X1hBx7/7ITMSRFBwhiEgA8Npljn+vFzBDVnqQoUdSVSgvZbH7XxMPckzDb%20t7zlLS2YIYA0TeJfdown4bl+ngL6jnXnfGfSk5/CWS4bn9CAGWJ05gmtK4N75Stf2ao5CLfHHEPz%20XQaRVMDlf2Hq2pamNG+N9LljvbCUtZ79IJLuda97XSsdRRulOTGVKj9VAxHqHgnY+R3fbe71GZAj%20uPFvCXQhIHo+Z0n1c7du0MgJzLuK0Jw3R4f0/V6A0qEQLGq538xDGEOc4DSgmmGfRd9HbMWMkDFn%2001QaZLMlcTDHPmBCYbjr3lSHMgez+okmFfQBighFCZTAXU2zVDPn5yPRSo7k61CuSCUHfhqlZzwb%20QYD5R4RljrTYBa2MLYw1ZmDmsly7Wg/9e2s/9c3/K4jwu4rKk1fH3+di4uYvJXyJlKtjqgJHxl/b%20NI/8TuaYKZ3PNknO0di2IUxYH/qyL9r0Ltbout55BKWRlMwm/OxnP9sO0xPiqsyNwo5s6ICJJC7k%20lclINBJtyndMQsx57gFqmGF8QtVhm03ER6Ucj01bpc9dMaCRpNr67ZGsa6Ik+pKa/ZgHOTApFyTk%20WPQXhnanO91p8pSnPGUiaszcKsQaBpmEyLS79YH9P+ae91o3UgLU5QvjPRQ/RirACxQSReryd46c%20n0XbHlzMIxACdPKamOtcEfQqGNb9s4n5s6ft7ePeXJ26WwOlTdlzVyfB37cwr4/Vfq50ybnnnjv5%20+Mc/3sJZhZ5iev4WaSe/4rWvfW0LbuCYZm/mq+Cn8CyJinTO7BcNqEqZjnO4173u1aKr3JdNdVz0%2082e8mn1y3hO6MbPWsjE0UDkxEpBJ6iK23Ccw4qY3vemZFyX0fpch4XXtCd6wpoCSSLWcDNz7euZT%20aviOVdfYtOeNAc0V4CUAMJHaMz5H+8xN5s++QPMky8bUrdfCyplXJd7KieLL9X3oFJP4NoQ5/bRP%20gWIKAm8y8GTZeT2U57YGSodCkHn9DHBhDMKOMT2VgwENKdz/aUkWqggk0rhnhLxauF//9V/fTBfx%20RXlffAOR7JiZ+ENktNt4qdawKrOYN7aT8n3oVE+jnSZwxFSKKfJ1nH322Y3eznHiqBei7NBEPsSc%20sLsLOkVwsUbkwqiS4Oh5lRLqcfW76Nu8d8asGkYtp0/kKiuAz2ixgoUqgOTeHGMSLRUdBDKYJ/5B%20gQ1y0iJ8aGNWBY95fR37fd27qRJ+BKSxVDzv/UdQGkG/SGp+k6YlxeYiJeU4AbZxZgqMTOi4H4wD%20ENlcbOBMDzaVzeQndnAbDiCp+u3E1oDWPC1uxDBOza2L0CxBDAkrp3moNC7HjOPdsfKEgwpIi7S7%20biJXRmsN8W/Ff9a/qwZFVEY/r0/bMAFGk+G/Q9dcCdvutb1oPPYLYU0Qg1xApbWUM0KLRNhVGm1r%20jtI/0XeiZBV+pfFt6/3z5vQQvz+C0hKzlo2TwpGR0hK2yt6fq9beYobASHJ0dzU1uF8lZJFIpPbT%20DkjzGGTd9MtqkJHgMRaarqg72hHzEnMQhzztyXdKGNUq4Z6t0vkSy2jUIzFNeSg5UzmBNoILxmjt%20xQfpc2s02uAQw4+kn/FUIUiB3wpqy9JZG+lDBp35y7iG8u3yDBAyJ/x/qsADM6Dm6v1Ho4i6xpsF%20OjEpCtcfqiy+xled+Kb2DpRWWfibnq30zUaqJrVIaEMSavxE1RxR8zHi65DX9KxnPaslIZIAwwzq%20Ozc9vm22X5ns0HsrI+2lzqFnl1k32onJFDOR/IihxGEtWVlQwX3uc5/mE+R3IlB4VyT7ddKshnjX%20dgPQcfQn8lPR2GhMqhc85jGPmVzpSldqpjBj8300iRokUMHU5/l/hCTCU0/PMSapIS1hmr+rB6vQ%20oPqERFACJsEM0VizBrK/KngGBNc5N/PaSnmheqzFvGeO3w9TYO9A6VAmqkp6/Yaom3La3/04SeMk%20caajXNnIPTAtw4DH0rVnLEPvnMV8wsR6ZpZnhsJ0a2JkBYx5459GpwrsQ+AeZu83KZf5FVOPjwaD%20VFmAyYg5lTlP8IlQ8U3MQRVcerollD0MFzABD8CDlipQ0NSVHxLSDkz9plXkQLusgQCxyFD3Cz7I%20EQ/WID8VJstH6j20xjFh1ZWu0wSORT9/8pOf3CIizznnnDMlicYA5Nh1v+z96MbESLg5XqtRYGug%20tM5NvM62eom0/n9TduEhBolBJLw3fVD7S3gyqZyEXs0y06a9BlC4R1IiJpsM+aHnJJKqRYb55L6e%20xvqGQTFTVBBAo4AJqVxEmO9Fh/V9CUhgcDRD0Vf8ba4LX/jC5zm0bh7TSh+Gkolr3/tx9PeHgb73%20ve9tkWzOYoqZztjQXkQVx7poSqWLaFQAatX1UddB/CKAJqehog2THLCRcpBj4QUI0BzQUXIw4LzE%20JS7RNCQ1EmlP8q0EQqSSiHWgPdGGAAzouN+YMdOXvvSlLblYaLNEVAE5PgduMTdnTnrTW9VqEk0X%20EyP6iTo1PkEjSSr3uYobgM9lbII3rD/jtx7VkmPSVr9OeH7WWsoFzRNWVmON455OHtuQELopfjWu%20h4dz99ZA6XBIsp2ehhlWzYGUVY/cFvRgM9uoQsTVvWNGwlhFhKlU7sKQJIfazGzuwtNtdsEXpGVg%205n0Yk0jBz33uc00yxphscEwPoyN1yxnB8LSvHZGE8kl8jykzEXkWYF72spc9EzWVjed9wEneD4mc%20JI7JYYjql8Xvpj1taQMQYEIiFVVeAFhytOR5ATeAIdoR0xRujxZC6X2GGWibL0V9QbQSgMKcpR/+%20RjP9MCZMsfpRAtyi7bSBCQc8YxqixZobp9Fiunx+oin1vWqEy6ycMFrv4sNRQw0zZjo0FgDiEnBh%207oCHs4s8Bywwd+MTmAFknOgL4JXwAWTK3qA1ehJ8zDczGJ+lcQGDgAaNiVbi4q/yf6kNLjQz9lpC%20J+a+vtyP+829NULDTJK5Nqwxz0n8NSfWIOAk8FgbfviOjAtIia6z/mJiHKOxLTMfY5/J/Eeo2GUu%2029i+7+v9R1Da0cz0UjaG1EdTuQcjIWE6PA3D9/+c86OmG+aFKZEohaA7JkB0HwZ/hzvcoW3sV7/6%201U3aB3iYFfDCYEiqDrLDvDCDN7/5zY3hYdyYDwCgqWFeGDaGQBNSj4+5C7NjXgEMuQCE510Yi8rR%20jiIAiEAkVa2N1TiAp5BeAQUYFQld3onNTdrHtCS3akvlaW3RVHwnyhHTBMi0AszMO2gxxgysARVw%209b0xARbjqBqTcQJfWkR/3Daw+Kmf+qmWIK3qtcrW2lTSRkJ0gloiZIxZTumDZ2NSw7TNnfdx5vu/%20KE5g+exnP7vlxjlTiPagrwJjAqxO3n3Qgx7U5vSRj3xkA2HAlor2/k9A0TZAI3ygSfxKcuxoXbQn%20aw9oSBB3XzQzgSDo6od/JyBR13NKZPHBuawpGpg5s34AkP8blzFY+0A/Ffa1RZgA/FlHaJSf0HhV%20TXXMXM271x4wjipUznvm+P0wBY6gtKOV0ftB2PGZXWI+w7BsboxYXgfQYEJKyRsSLn+BYpYSeAGB%20520Mbdiw/u83Jo6BYKAf/vCHWwIvU53EQ1I1zQPYeSeAYioh3QIEdeMUJMUgPKf9JGxiLn3QBiZH%20M9J3fQZGKc9Tj4rGhDAllRP0lwlREitQAkikfqClj5gwhqVPAhG8w4/n1FCT0Q9g0cQ7MD6MWb1B%20hTlzSmvejyaVoTEjGofxEQBc1W+hP4DZHAFQRV7RUWCKIAgXkK/gMm1Z1feGoaMVQNBeQqUBJYCg%20ERIoHKQHlGgO6CltoEYDoosztmhActtudatbNbqhiUKl5gwtCRI0ICCNZsblc2sk2rP6cfoJzMwL%20ICJMeAehR5QiHw96Xeta12q/s54zJofrGYN7UyZLu7TdoctaCQj13y8D+Nve1qnkcqx9tzrlj6A0%20g4a9LXjdklmV/DAA5hnAEZOOSg42ahzvTDi0IlIZRoBhKGnERENCwxAkJZKEmXP8TSuiAQAuTJ4k%20DWy0iRFjbJhcEjIxJ8wfA/FumgeTIMYIMEi2tBuaEkD0bC16CQgwQUwP4EkwZmbUF6a5SL7GigED%20Qf3ATL1Lv5jFjNP9NAWfGW9ADtCgHfD0LsEhtCZM0OVewIRRoKFjP7SJIUYbrWYg2qD2APWQ/R8o%20Af1EWGHOfDnClAGjnJkAXU3YHVpaWUOAiAbHbOi4A4CJTsaLVspX0QJpfwDGOGlFaEJIoFXWuoox%20SZojZl/aCY0T+PsMmBJoaFqe1W9zhw4AXJXuCC6AjEnNd33tRmsBANNemXOdKgs4aZD6pk3juve9%20793GZSyurJFZfqBp+22ayW5XvprKB9IH+4xgsW/mxdUhYvstHEFp+zQ/88YsaAyJtE7qzIUZYK6u%20aCMYFr9MLkARyQxTyebHCMIMcm/MUkPDjYRqs0VTcF+eYQLMpS9MYPX/NiJG5TeQYYqrV/wS2s8p%20sZKP/SS4I4fx+T8fQuqi9f1N0AFmDRzqkRR1jMaECTN7xcQV+uhnZR7uw0z7qgJ5d3J96jNAlSYC%20ABQCBVi9BjZE6/ip0IEWQbAAzjQZbWoDmKOZPCnh0P7vFNXk5lgHgAMT7K/Qk+kWmEXTyX2+9y7C%20SAInFtkCNVQbYJkvPzRG2hvNjUAF2GhjBAZ0j1m6N7/14KQP6xb6FhnXqvdkHGhyPHV2VWr+3fNH%20UFoPHUe1UqPVPEjrIAnTTirz6HM2wvSyeW2I+CVSLSIO10Qo9bXD+gKwVcvx7t4c511hxglLjvQc%205u6eVK6ufpI+7ybP15NiAxR+94wq4w2jzbi9C+hoP4BRzSa1z3xc7o8GE7rEPEfr408CSjSKyhzT%20H+/h56FB1ov24TOmRX+7bxFJOf0DmICFVkhDlaCbozJE+b3pTW9qeWu0kfRLn4AJGtJ8K21iPkST%20aME1kjDf17JE1Uzp7xyxjslmPdToujqnPhek4kf/jUPRYUVSmZaTQ5W53ZVmM2pzjrw59GO9AMrH%20QIeRBBy4/QhKI2hYN9VYqa4y3Cqp84fwBZD4q3YzbXH3zt7+PpJp7VtfN68yoSaVfIFh12sW4wij%20qu1Xc1T/eQAg7S+yYev7M9Y+27+Ccr4bChP2vHf21aJTWBWt+FP4vZjnoonU9itY9kuFr0T7mDFQ%206sc79Ky24y+kcTI5Mq0ygQGbRCXy7/DbxORZ0wVoWd5bI+FqwIHxDvWlB6CMp85bv356kB3aAz5D%20P6Y9P1Wwqut17J6ZRfsR23btt9a9HJoSTgguAfW1v3QDDc6aj00LEEMm0DN8YgNjPTY5hQKZCBsd%20Y+Sk55uQsAmYEqCwCgH7hZb/L8MQ+n7MamPou3W8MxrCPJr0YJ1N1X+edgJUmEnActZZOEPtMHXy%2054l6AzDJ4QrwzNrY7gEqtAwamuhJIf8CTkSeia6rZtUKDoITmOUAwVh/y7w5mff90Jqo2tOQWW7e%203J2E7wkNtN5dVpI/CXRsgvJJGci2xzFPkhja3HmG/0hIsURHOS9yelwxpe2rhLhtGi/6vmnAM/S8%20eYmp0fek24QoRxOsjHWapB9TnUg8mpLIOWarzF1Ar2fYNXBA9NsznvGMph0l6o7/qPrGPF9NotGA%20aEv7cKDcNPosYsY8Ses8AUMVlObxiEXX977ct0nN6jzWnX0Z8Envh8WKGZLMaUcASJ6R3KIqvY+V%20VE863TY1vphdOP2BkvD05FeF0VbNNuCQ/oTheE5AgUAEmo1IPgmwtF/RkilqWsfBFyR67WlPe1rz%20oxFMmO9682b6GAafd6ZSRs0P682ym6LbrHZPGhMeQ0NjTzWOMc8d7/1iChw1pS2sCgwjjEV5e3kz%20wpp7H8YWunJ8xRcoUAMS+JMIDLSTGhTQE6oXFqo2JSJSOLcKFcLvJahKtJVkTOgQ0ECzEQwg+fej%20H/3omWRgQQxC13MNCSXWTi30qQKD9iRUu46CzH4sawIns+rxGk+BKtAcQWk8/UY/UU0c8kaYaGr4%208T5IuaMHdaAP9NqHyEcahxypWQx+SItxP4CTK6ZyheCEVLFmFnT+j3wt5jmXaDTa1F3ucpdWDSJR%20cDH59DlBlcR1DSWsPppSTISnWVPZh+VI2JQDdrxWo8DBg9I8KXHMRh3T1rx7p02L/tRM/CMgrbaA%20xz5do9KEckuyBRbyagIyAaca0Wbe+hB39wVIAEQFCVUQVKtwJanS90PRa7PAqAJlnuVL0pca6bWo%20D2csvYaAesye6t+3yrPL9H1bzzDd9akO23r3Ib5n1jo4eFA6pAnBRJhvJEb2+TKHNI5D7WuAJRtC%20dQO+HaHdqYRtXnrwoZnUA/Xq+Ktwkqi7CmreVZMqc09Muosy6epPklsl0k8isWvRNpaZt1lBJMsK%20Zsv0Y9+fYV6lTdOaj9dqFDiC0mr0W+jpMA2/Ld4UbZy14Rdq+HjTwhQIAw3NVSVXigdgCMfPaaFD%20jDYgNU+j0ZmqsdS2vNf/oxmPnfs8R0tSQkqitcoOm7hqH7VvvUruFhAicCP1CTOmTfTh0NpEC75E%20gS/HazUKHCQojZHQ5t07Rsqc19a0qUhIL0lKyR6M5Wi2W23hjnk62klOCDYfQrElLt/jHvdo9fFc%20NfS6aiAECT8JGZ/27llrqYLimL7n3oCdtcPsKFIwPqmAw5i1PK0PFTjdowK7+nwCQdAg9QUdkaFY%20MJr0dOvBeJnx7vMzQ8KGag6PfvSjG2iHhps0qa6DPutYL+nHLN449j0HCUrrmJBttlGlYkVFa/WB%20IzhtfiaqpuptzigSBakKg2MuYrKr4LX5Xo17Q9ZJykDxWVWz4NiNPwtY63pV8V0gxs1vfvPGcFWf%20kCiMhmre3fCGN9yo+XAclXZzd+YmtQSHfI+76dlhvvXUgVIW0KJgsOh9i06/sGBSVc8oF33+eN94%20CqREj9+KoKpgLVJKfpCisNGKph07sKqWM77HX/xE1qGgDKZGibcivQg56+5f2vObJilAI1qZSuuq%20wz/vec9rh/gFlJa1IqyDNrtuI75KJk50SnHeXffrUN9/qkCJxGfzMKP1qnVvtjCh+WxocpeRTHOm%20jRNhj6C0nS1TGbbD+lRdELQg2VWx02p+mFabL2tmkdp9mxpVxiHCSzqBAA3h7DGrrbNvdW2mSG2A%20XYFb9QKZoeVkZZ/UcS+zNzZFt023m7ESElT3UOlf1fjTRIN10/hUgVJ1VJOUmSMSnp2EyrqY+oWF%20MeRY5mUmQqKm2mbJZVmmjeMz4yiQ4rfyhhySp5qCE1Hvec97toaG5r1/gzWC6e+y2GZMvnw46uVJ%20vhas8SM/8iPNr7MpTaWaNAHSwx/+8Jb861wupx5nP5x2JmwdSS8ATsdrNQqcKlCKrdxJq86qEZot%20FNgmD2DRZlz+/7GPfax9TyXH1PxeRiLNhnVyqWtTUVOrLYWT+zQBhMlOlQWSrEP5XAGZeQwV4xVg%20UE/O3Ta1qsZnvVqLaijWoyuGKoOv0s/QxV4ASKIVpTQoQOvQRFeOI/H3PDqu0pd9f9bYFVSux8/s%20e5/3tX8HCUrLLv5sbGVa3vve97acAqYIGy4bD1gJgcW8nvKUpzQG5n4M7e53v3v7PM7msf3gTyLV%20clLn2uew2l76HjvebS36amZNH1Nr0Hc0JJqFShqPfOQjz5T1mXZKbLQDbVkXzH2ElV2PP1qddQuU%205CtZu5jhugHJ3MWP5T0ObsRwBYhsIsBiW2tlU+9RXshcHAXO1Sl8kKC07LDDVJhjnGyqYKbw2he/%20+MUNiJR+YSsPE7rMZS7TnMrCYgGKH1eOnlgkb6X21XOcxnlu3UEUy9Jl6LnQSh/jf0vo7zrfs+62%20AqQx2znm4aUvfWlj4ve5z31axF0k/BplNtSPtKUEkRp29VTedfd7Xnu1r/5meqa5beKoBO1HA/MO%20dFOVQmCIK6V0rGWBF/ssWM2j66rfZw8DamdJ1eNGdi3ErDq2XT1/qkDJArKJgY0cC1JN8oZIzQlA%20iO/IZ4pl3vnOd25Vn3MIX047HTtpNrF3VjDblC9gbN/q/dXRnb9zsu2hMKD0+9d//ddbsqm5ddx4%20AGkRgSDr4PKXv3yr4k1DWfR02VXoP+9Z61L4ca1cvs51lJBmwKSmnyPfBVQw2QEp3zNnX+ISl2j5%20XiIAT/OFHviI6v/HSi2rr4RTBUphKKnODVxsbiDVXzUsll8pZWj683Hcl6ME5k0HZuL5aaHH857f%201vf6+IlPfKIlSvKlfOpTn2pgeq973evMUQxVk9pWv2a9p0qloS/wZ3oiWAj9rmCrreqnqW1XwMJk%20aNapa9bnoGxLGq59sma/7du+bQJwBW4oN5Tv1zUvaAeAtHu9613vTOh51rDwZxpkHf80eu5ifQyB%209FBf07d+HmeBfKVxDQTZ1lrYBT29c1vjO1WgFDMUEGGiI/myBVtY9fiATEBArDIETBqD8hkbMh9R%20tIdpk5Z2EjAhQgcwrouBrGuRxlSHPoI8HF4HkFS5lsE/1ly5rn7Na6eCTUA/5xgxp/j+V37lV9qc%20Z26nMZ36eT+vxh9/4jRmNq+vq3yfvlm3gOg3fuM3WmVyVxKA18E4clQGGt7//vef2+V1amlzX7aH%20N1gXqv8LABEmL5drHfOwh0PdSpdOFSiFITE9kPplqWO+Ag9+9Ed/dCIq71u/9Vub/wEjFuX06U9/%20ui04ph9gIvro4he/eDvM7f3vf38zYfiZxewChvwZ3iW4gjmpSutbme05L7GREiBwoxvdaHKTm9xk%208uQnP3nyuc99rhUt3VdQyrAiPESaR3e2fsIDn0i0nEWZKHpo4z3veU8rSfQTP/ETLahg25puwFH/%20zYE+0VxpSb/92799Zi2NXUNDjDOS/6Jrc1Faju3bId2PjgJhVLgwR0DpeC1PgRMHSrM2SZiWTa1c%20img6f8tQf9/73jeRXJlq0MAHQInSo00JK8aMJBNicCRvC5GJ62IXu9jMXJG8F9jldNJ8Fka5L3Wy%209MMmS+h7ItTQJWbKffCrTFvy6OonAPrJT36yBbEwv6aqdq0E3jNm/+81JNGXr3vd6yY3uMENGijt%20wq9WtXVzId9NP2qY+qx+5buePtG0ql8oNIjPasi0lXsijC3PgjbzZG9i698SPrHIvhsaf50PbRN+%20mFWPGtLq83niQGkRkjB/SJ6kJclVusAFLtCAR1Ir4GBaoyUBIFIPMwlNiTmDloO50ZYce43ZTQst%20Tl8s1EQzqST8ile8ojE471tkUywypnXd028qmhPGlzN8eq1kXe9dVzuJutOe02BpesZgvhYpyTPE%20VESYMe/uiuGEgUZQ+MAHPjA555xz2tqMlh4mOU9zifZHsHrSk57UhC7MVHVrJYX8jtAxbW3Wz3dF%20k2XXSzTBMftuyKSb5zP+CHPb1qKXpcM+P3fqQClRZEDBTy5M97u+67vOOLVjvpC1XqUiIJRomx/4%20gR9oj8fPMG2hV2eooAr119797ne398dklkW9b4slm64PPd5HZlT7hNmq3CBggz9MEdHMVZXyF6G3%20sW8i9HqRd+eerC1rydqxjplYlRwaUwDU2D0rUoz5mXBGSBM2f9ZZZ00e97jHnTmFd0z/dnFvr60M%209aGf66oFJlJuSBOqbeU9FYDQnFnf7yTVi67d9TrZxTys+52nCpSyIPtFmPyboQO6qpmtmnYiTYYh%20zGPS0aZI65e73OUmb37zm1teQwIs5j2/7omf1V5MPRkvc1F8GZ7bt77maAl99MMfeJvb3KZptY4e%20l2djbiPxju2/+83f2OfWOWd5N7OyY9a/53u+Z3LFK15xYaCtghGrAHO1VAdr0KU9f4voE1UXM19l%20yHX82TOr0mQRzS50nGeaHzKJp39qBap4LhfxKle5yhnz7rT9W8eVv92L/sz8SoYx6TPb8b1+8zd/%20c6NZzkpb59wv2tY8Wi7azrbv69fQqQIlxA449Cp5zkEZmpAqkfm7Sq2LbsowBe//sR/7sclb3/rW%20yTvf+c4mweecn10vqmh86Q9aYObGyMRTzxMCBD4fYwbZ5GLXD/0mqarKoQ4Zyf++971vS/Ccp83O%206lud802OYZG2X/ayl7XgBkCbRM15WnYAJu2bU8njb3rTm1r+kaTg1772tc1szY/qSlBFBYS6D+KX%202xZtqtmtvlNoOg2FSd167Put/0996lNbJQpWjpjsgUi/JqxpWqSxMVlLEuY3Rm91Br1LcAmLCmBD%20L9+jX4o9L8oPFpnr03rPqQOlaYx/k4BgocbW7D0i8CQiqiRxyUte8kyeya4XYUBGH202znT11WxQ%200WdMYaRoTA0AbJJmi9KiN63otyAUGqmSUAGkVQrpLtqXTd0XRoch0rAxQSZJV9WAht4fbbealcyd%206FOmOiHfaIReD3zgA89oSUPCRs9ws66XEUwClPOYeNXIErziGVqKE4MFspjbW9ziFs2cmXB231sH%20/LeAyAF8QIm5MukC6TeN+pnPfGbzHQM4AlgCnrRNG2KqFxClD9qmdYlKZcKjjUuuniccbGp9nLR2%209wKUZjG3eYv2UCak166ufe1rN21JVJeD5iKdZry7Grf3khaFx/NdKCJrw9OS5GEICrE5s7H3gf6R%20kPUFU2ESDTPzme8XDWcfK7QsaxKcR7ehdq0X0Z78nAJmcg35RvI8gQKY8XugTSIoCRYPe9jDWpoD%20+qSQaMBCmzQpZyZhujFtv+ENb2jtfPd3f3cDsFqgmOkqCemAwH3f+Z3f2UxezhATxi6ZWVsRFmad%205ttrYTQVn2nj5S9/eQv1V5+SFpPznWiPaCSQQ1/kDQFgnzvqQxvqIDJd6p9gGKHcNEZHTqCDtW0N%206bN+GpegJpYN1UGAlBQJggENTSJzNKV98Sll/uvvCCh+5/NqvoyQEVN9vxeGfJdVIKkaeQTcqo0O%20RRoP8bm9AKV5G3TM9/0g90maD4P0m7aEufz8z/98i/xLqPGYsa773jA3i5J5R6h7PZCQhGjTRRpd%20lNGvu5/TNAKfY5IYMI2JdsdXks04di1kLXkuR9hPG0vd6Oscb/qA7kDCRaCp6zzzVt+rz+aHNI8J%203+EOdzhj7hPgQOsVkShQQm1HFS9yPpL2MGI5ekyhjscALkxgwEDZJaHkaOwZ/hUgwJfnvUp4CZzQ%20NiGGD0Z/1ZE899xzGzO/7W1ve0bbrgBchbIwSXlinrP+aDG0FzUrlfZBFyZwUbQsD3xixgU0vv3b%20v/08VbtF0wp+UTrpdre7XYs01Gflw4xJ+0x29mN8xugHkGhOrBoONUx1l0pv40c362RXV9ZgNWHG%20zN7v1YBFcvrCm+qar3/7PtaRPBthsGqw7ksZtrrfhgRD3ycqudLsxIHSrhbEou+Nucn9Nq9N8fa3%20v33y4z/+42dMMcscj7Ho+2fdV6UmINlfpMdIQzEbLWO6WUdf+zaygWwQfTcW5pt15FRl444FtXWO%20k7ZB+xAGbt24Zml1+Q49JIuHPtqhnUfjYJZithNajolHI2K2ZZoimLzrXe9qIOD9N73pTdvfcrf8%20HxPGtIGUd2lHyPpXf/VXN5OgfMDv/d7vbfdbK4oaC9QATH2B214SV0zXuU36b38ARpoOLZ6fR/tA%20ylj4wh760Id+EcnDQGO+1T8AZm0QWoAJwRD4qNQCaDFVz9HEAJ+AEn7gnL4b2leGH0DYZUh45rzu%20ySEzu7HVQK16/xDvqQJQwKXuK2OOwEqLpF0GnPyOH9+aohmjfw+CR1BaJ7dYoq1sPqYCEppNb/PL%20W8ri3pX5LouldwL3Us8u+zdE8sqE0VJAAHMNphNzXsbWM/NFxzIEAkNmkCWWxBc90mtetBbSOu06%20AkPumQWWvlN9hC+K1gg8YqoDOtYcho5J0xICShg18KEJARSMh4ZAw8KogQM/Ci0JEweU+kMz4pvB%20DBMko6CrZ9XQ8z6M3/fMbsyHrAaCB3oBhz9In5wSDIge85jHtDn1DkeQpEByFaaqJh+G6HeYM3ow%20uQFTWuB1r3vdBjq0Jua8aDzuoy1WIMrZUdEMKsMPo9+1WTva5fOf//xGKwUCWDve+MY3NiFChKXy%20YYQCnz/rWc9q4A7k0VMAh+/R21y5D6i4z2dMsAQTWie/mnl3rI/oRoEf6OczwhMNXdqL9vkuPY/G%20oo/1a1qB46OmtA4OskIbQInvxqRyzCeqaYUml360l4j6/y/d8JYejNnC5uJDcEIqKTth972dPSA1%20r3sk6BzRMO3eqgHPa2/R76s0i1EAEQw51zQwij3ffUxoGAsQAUjy5HzGhOc4DnTi02TuwoRoMpi2%20Z5ThookAhkSn+tsadeAfZs4kh1ljcKEBf1eVuDEoEjR/FpDDAOVJ6RMQIWVjcirxY2B8VRgqs5/v%20mdp8rj9KdfmJybJK7IAmY68m29yTQAT91G9ReXxj9aoWgpwblXHNCv7wHRrti0n7wx/+cAMFpkxB%20VQQDNKUpEjJogWjKZ6jPH/nIR1pCtjPHCDGiVv1tjbzkJS9pJl5mY+3mGZ/TemictGz869WvfnU7%20e8v84mtAji+U7475Fy3vdKc7NbDn1xtaw0dQWpRDrPE+GyYOUdIC0wCTB4Zhspb1gayxiwfdFBqS%206EiGzFWk4BpoMrQRZvmEMNgU3t0WYWofaSMYNOBgwpp31Wcxnpy0Wxl4Er+1hdlgSvxOHPnqQN71%20rnc985qUZ/JBAN6x6BV4AFP9PwDFBK1zYIQRYl7AC/hheMCF9kZw4KvCtIRqe8a+EEDANyWwBqOr%20hwsmkCUg4B0kdqCNQU4zK4c2tep/DYoZou0imrQ29GGX5rvaT6ZRY5VEToOhZdsXNBnzaT0TtoAK%20oQC9FV+mgarLaU34THQjSw4AwacICK4EsqCz+2jWhAKaNOGC4AOkrQkgRyNNcA7BhJBlXQ4Fupx4%20UKoTtUufQF3sveR16UtfutnZ5YqQWuNAPILTPPb7d9/3TMMmudrVrtakM1FZTEM5rqQ6XKt/LP6B%20vi3/z6GPNazfezOP+d0/m/Yzj7OAb2ikYawc70xeSl1Vc9I06lSzXu1b1n8ixRJlxbQnAEDBWeYW%20ACGwADi5hpzR2krF/EoXJj9RmiRqAMS3ZByAiFaCSTFF0tpI5sp53epWt2ogKIiABsf8h3nSqOSa%20Veal7zWROxVaMk7RhnxRznlyL6DFIIc0mEoHz6/DP7rr5NkIvMaGrjRfdGU6ZS5FUyDBh0YL9n+g%20RHg5++yzJ8997nMbze0fnxMugJf7XXyEQujR1PybRz80bqZBYfkEJ8KNqE9g7Tt+TFYh/fJ+AGct%20HAMdFuNxG78rjDEbibQgsofdlwp82g9NW2YCAghhLhiqaDVgb0PZLMxCpG2bJH/nuQoYYd75DiDY%20YPWcpgpKvcARoKx9mhdOO0tCjxQeP98i9KnjSl/jA6nRUsbEt8JMA5RcGIcAAxoakxmmhNmSmjmr%20gQrwARz8C6kK4Z1o/qhHPaqZi1RPoCEBCQyRNUBbJGWBC5ibSDjVJfiLgJb7zNdFL3rRdjI0zSlX%20AEifARd68DuxMAA97QsHp4WR+jHO+FF6mpnjClSLaEOz6J7ndwlK6V9Mm+jJYiCRnOBr/vgD0YdG%20hAa0b2BBoyJECP/nK2Km5e+jVQE1OW0CWtCVaZffyPPmwjowB9rNhQ5Ax76x96wDa0nfaE0p8VYj%20BfPsideUFtnAu7wnwMREQToV1kq6Gwrz3WU/D+XdARSakfwTvg9OX+aHMA6mDaYjfgxMD0OedQYO%20fxJTBCdtvbQXP0Yc3EPMrWpneT4AN017qlI7ps7/smrCcrUUVB9YSuQkhB6DAUwAQ24OTROAyFkT%20JMFnJ0xccATwIRkztbmsYxGlmBom6Ah1/hv0VYUCoyShu5iJtANgzAXTIF+GC6MDYK4IBeaT0EYb%20ogFjmIIkgCft2Ocke4xYmSnvzQm9aDdWUx2z5s1nrdg+5tl13Zs5NValj/xGAzRGJ8EGNNckAwMM%208wKMmNb403zHf4SOOSlBeog1QngAMAIVjJV2zQxKgElkbrRP+4/mxXTuO38TEPSpnuA9pMEeQWld%20K2LJdrJRTByVVpSL3yZ1SIpY8jUn/rGYykIz/0dDEiHTBUkNU5V4yVHL38H+zVzEYUvKYy9PIiQp%20zwajxZImOWz5PphDmDD8aBNjxgTl+fiNCcZmT7J3kdgxc2CoTzZ/L6VH6uxNSNYHUPRTc2BWMUVX%20H4p+0BoVCeZXUjkcYPMLABCMyD0YGwZkDPEdGa9n0hft+l70I2lbYqt2aTEJE64L0XOsAjlbDPBi%20iKL6OOm9j1bL/2Ae0Jq5jxTuB2MUjQgw0ZXpG5BhepWO6JYgh01thGr92NQ75rVbNWmCRK4EmZhX%20FwBFx1zmIUKFvwkIfhK67X5arx+Xe8yHeXZZB6741KwP+8A8uDe+zOrHnMXb9gKUVlWd501Wvh96%20zyqbe9H3zrqv+h0wPrZ4vhASof5Gol6HvXsd/V1XG9W01ZvLxr6jAlKYe7QK7+FM91OvVDqQmEnq%20litGMvQcH5JNB5RoQGiP2WHQQM2GIoEKpbaZMVaAB6iS55J5wxBtUp9rE/P0w1yL+WojDDPMPv4a%2079Z/oOF9gFTfeo1tLL3i48pzABPYAgUmsDAvjIkJbdrlXmAcE1vmFPMRkg8sarQgIOFPQCuMDO1q%20cAQ60M6YitA7ibLmitBG+wHw6EczYopKNJ45ifmo7il9z0nRm9zr1g3mv+rcjJ3Len9dPwGDKoD4%2027qcVUUjPp7M5RB4TOPX2u3bzjtT0Lg3Kw+Ndy9AaZWJOAnPRsKxqGWnky6p1ZjRGD/CIdNimtlr%20iJFUM0z/NxpMk4qZJIAKnwVTFU2HmSiBEQEDyZ7+xmCACTDA2GhM7gUQ5obZg+kIk+XsZapgh1cz%20EENnMsFMBSd4t3u9X6j64x//+MZ8MVgBDKRQkiktS7uVublHn4Tbsunzt6zTFMVcx/cGVK09WhKg%20Cu3D5NHWe1Pxga+CRN4zIpoPwAH2FZTQnb+JCQmgALMkVmo3Nf34N5gB+S58TlAjVAAg+8Ezwpxd%20dX3UyLdtCbrZc9GKa4TgLvdjTHkRZkMPc2WtCqqyHs19zowjBAB9Aoo1zyzrM1UypKwQoAC/OeBq%20YHb1vfnWBqGGQM106/3mmIYdc+2i9DiC0qKU2uB9lcFgPpy3zBi3vvWtzxPKvMEubLzpXhuKJBep%20vWpO+TvJir1kn6CBRGINHSvhWZsEE8c8OcD5OACGTWKzYiBAA5MECACHZgNwUpvN/23UZPmLKsK8%209UFbTIC0FwyVuYl2Y0MDJxpUzG7eSTtgNvEugOg5EU5ACijIHfEuNnuBALG9AyhARPtgwvJ3GPIq%20zDdmFQyVSVHpH4EMtJmAUpVs67toBpgOoEQ3fVI/Lpf8GP1Ft0jwANe8ox+QRgNtAG3z4eeOd7zj%205N73vvd5GBlBzXMxp+p3NIDk9dWQ9FVosuxGCD0WiY5c9h1jnhvSSHwmQMU8oychS6g9movAZGZV%20J5DFQLFbeVzWpL+tD75NwTBASBUQARIENH5DQQxAilBDoHAR+Kz3JMku2v9TD0p1AW9SvZ81IZE+%203YNJkl5E4rGXY5gn6YrU7XeYFcaMGZK6Me4U0+ylzoB36FX9MkxDtBBStQguYEEydy9GEY0T0wcg%20AIMGQivBGFMuB3B5P9MTILFxbTzgwqdEusyGo0XZyGzrNCkbXogtzQkDzjg4lHNUNv+V77SJiYtE%20o5mgRUJ2ASgmQZPg16ExcEQDPT4cTCVaS36PWbt9EA1mglac4xhSDfHuBYLqI5CVz3yHEQkjB2Q0%20PiBCqjY/BANaowut+e0AN2aXvRdp3hzFP1HNTlXKjwZQ5z6Atot9UjUSofu7rH2X8c/iafaaNUw7%20x2esS+uKLzEajd/2hzl62tOe1kzNglQS8UgwYwWgBdlLcuiscevdXBOmkotmbiJc1uTlWYLDqQel%20XSzkoXdmcfvOgrHJMSdS86Fc/UKrYxpahMwI7rFYZX/TaJh7bASMi8SMedcr7QAIDE94sqge0r3P%20MAVSnU3FZwPk/dAGaBxhekDA/anplvBXG01/MBgbGLP2HeACUNrURsro0HpSw827mS6My/vCoLSh%20r8aXSDrgx0ziO5IkgPJbKDsgoj3RQoRrE1CYTZgHMRRjHioKOmadBGwwHhGfCazBQOJTquBV58/f%20QAPzkmRJeMKw9Fm0HtOOOSBkRHOIbwIIVz9ShIUIHL25uloRxgDvGFqs495octHi19HmutvQN3PL%20dMdEquyP9SSizppOYnQSxd0PaMyj9Z5gCMKfdaNSAz+rtaMNGpV1QDD0Hr7FZXxsR1Ba98yv0F6Y%20OAaIMZGKSTPTmMMKr1rLo71Jrs/jqYwMg7bYaTTAVtY9E6W/HRmAUWHmwMl3FnVyPji6k/CHidOq%20SGZMQAnVBl5MRrkweG3aPPEVMZeJvKPNaDslbZieaKT66/M//uM/aUCEgQp71U6tajCNeLQlmpgf%20+ToSEWkPNjWTh6hK2oJ+kC5FqBm/cfgeMNnQpEwaiCADf7PTixJEv4AoUKomz6ydzEldM3We6pzo%20g1Bdl4RJEW+CbfQ/VxUsfJZ2A0w+Qx/99SOnxRwyYQq1T6hwleJronL6FlPsLkxvq2yG9Nc6tG93%20Xftu1ljMHeGIwMtNQKNhjhPdSNiyZgENwCKUJZDk2c9+dtOM3va2t7V9YH/aL0oJCXYR4crvZA6t%20b1GQ5liVh4SaB6wXESyOoFRmcd6GWISgyyzwofdiiGzyyQ2JOWNeH5d5/7Rnxo43JpWc0WMBAxGM%20FcBKvqMFkswtbKYeJjoAksgpG8FzpDHOVTlG2qBluM93aGGTWPA0lRzIFkaJEeqDZ1KrzXeYOn+R%20Z5jj9Nd73BezHVoARBtWX1O8tDLpSq8qyfs882TT0yL4gOTtyOexUXNYHABlliOtAmdAC6TiMBcN%20qK+AivYoWRGY8pEJ0sD8K6PPuug1GvfUz6wnZWMwH3TVB2Ap6o0Wh9HUq4/6rGuigmJ9B0FqGqiF%20Xr3prr5nm2t81f2Svpo3Guwiwsuq71z2eXOXE3odakiIIjjwKSUYhyBFyJDTxBTnUETBKfLHAA7r%20BcuA/WrsKj8QGJmyrXdr9MEPfnBbx9qMP2pM9PARlJad4Q09F8kUI7JwmEQwpG0l01amEf9PwCbn%20pBi672rYNS1Hfzk/hVkDA5n+pC6SN7DBBJmgEt0moooWoV0M26YGXgCCExy4uJ/ZAIAlRJrmBCz8%20eJYJgimM9qT/QMqmsKmYFrRjo9GC3EfzsIloSu6hdXgHSR/Y1asH5p5h1u/r39pl0shl49J2gIGC%20lBiCCDKh/yLx9E0AgL4BjVRCQFd9RzPmRIyBtsSuD2CAr8+9G8D7HvjSTAkDQA3d0BfIO4FVe+YJ%208/CsPC7Pmr+YN8cKJLk/aybraGjdHhLozNvm1cclMCnBHr2GOa+dbXyvT9YC/xCznDWRqvDef7e7%203a35/KxNc+R7GpFgCMKbtWHtELyAVOaabzEXq4P9FyEwhXzHzPkRlLaxGpZ4h8VAIsF8Iu2OZRRj%20X6v9Wosq0g0wwdjDsLSL6Vf7ucVHhafdYXA0vYTvWuS0Ds5vn5H2MVbVFjBrQOEZ48VUOfiBMkkL%20c0+kG9DRRxsDEDF9ARemBv4NIOUZQGXTYfT8Rqly7XubBrN2HxqnakBPq2Vo7ZnqzE2pFeCdfBpl%20edCJ2YM2xHziO+VdaBg0KYzB2AA6kMq5UMx8xopB0GjQhc0+ZYC8z/fGC5hog+YzB0j6XjADHxB6%20KXYKpAAeYESXCipj10/WaZ4bw4iWedc+PWNNXv/6119rqP46xxeQsWasjb64bYTM+ICyDhI9Gb9p%203fNVaM1+0XYtk5Z7xoxlL0BpFgPYp4Vd+7IM01pkYrJ4MDLmKSYddaIwa1fCeBdpa+w9xoRxYXKi%20z0jhAILmQmPxbnZiAMUHksRS78EAlfKhJdE4EoEDvLQl5BkYiTAzxpjiSJa0FG0yLZCy/LYZaEQY%20OP+ENjBb7SWB0v8xV/4kTAEgADifMX0BUQxXVYBFbP2LzOmsewLidYOiTdUi3GO8foTR0gwFdrDD%20Gwet2Hwng54PgO/HMeQAHLCr0E0DRCOgrH30R4PMSXKsgBuaei9amt/0E10ULk1mfnw9Y9dNf/8+%207dlVx7LI8+hvHuSdEXpEU+7LVecCT0m5pbou3VPN0NHykkMWk3Sv/fXrPW1mvVdteQw99gKUxnT4%20pN9bmZ7ChQBBuKb6UhZU8mXG2GgXpZk2MXTv5PQWVs20Q4KXk0OyZ1YiCYlEY5LLpd+YHBuzYALl%20kkTi2KyCDQCE52hA/s4ZRYm2wkx9BnT4YJitSP1+ABagk7vD1IYh6yeg0x+aRqoeALRpBW2jCfZ+%20l00x0aF2q5Pf9zRKVbWBtago4dV8TOjH94XGQAodmd+YRJk9gQtbv+in1DMD0jREGg8hAsihJ60U%20qKOpM5ByJd+pMqhNCj2LrsNDuy/zbH8QHvcJlCotF13n1Vfo+fx/7PP12TFzegSlMdTa0r2RMDBY%20SWryUmTHK0Ufk9i6u+KdkYiYhzjgqeKAiVMTwDAt+SxaDU2KY5OJKSY5JiZ+CgwR84yPw3Ok95gH%20mOIATsKl+UAwThdtwcYGRJjyUN00zJ1jddpGScBAzGnxbezS1j9N0/a5wA9OYaV0cogaLVmIuvlI%20HlASE4E4M1/8QdrgYzIfBIhUkEBj2igwkshYqy8kfyQ+w00IOutep/vaHvozk84q4bOvfd+3fu0F%20KGWzVntlVMp9I1j6M8QMFzH/LDKe2japl5nH2TOp1ltV7UXam3ZPVbPRHpPCmDAxwOAnYc40E4ye%20FiI0lD/C/zFAFzMZLcb9AIkNWlukdwzSxRwH5JjjUlHZWIAXUMJAAROtwd8i0mhfTFnMXZVp1uTJ%20SvfQrh7PEE3AdzVHZhXaLfvsvHUj0CLnaz35yU9uOT+0IUEQMuelCgjdJSTQVs1RxgrAU0Qz9CYE%208EvmwDXmTUKFz9Fzn/NqlqXxpp+rmkTyr7yT//OQjp2ZJiQtQ79FtahF2t4LUFqko6f5HkcYAwHm%20G4xo0WsWePWg7/9h+kw/JHZSN58HUx5pnQZkEzIX5VgAzE0AAY0oCaOYJHBRHYC5kfmI6SjVopmN%20ZIkzudnE8ffwfTDdqWaQvAfJo4ANs+VPETDB5IUBRyodGuc6N8mi9F71vpjO9N1cEwQACFoyywEk%20NBLBB/z572ioIunQWKSmnBPRUDTQmF9VkaB1ap9vSlAFjWvfBb9V6bmN57P2rOPHPvaxZ7T6XWrk%202xj3Jt9xBKVNUnfFtrOwRcpw7mM01ebfOxTzumqKW8QezOzDoc4/wzGOCfo/P4b3xoekH0wUGCUg%20ATjMcKn+DLjkunjeewEo7Qmo0nhoYIngc3S154BMLkxYmHSKbdKmMFsak2g1SZmi+wRJ6Jd2mfBq%20Imm0ohVJv5PHq/YHhACvOc7x4NHyCARC6WnQ6MHnSJCwPoCUuSMg0LhoqTRRgSeEC/Ss9dkOEbx3%20MjkzXpq6e5mvfevfofVnaVBaZ8RcZa6VgPssbcwz1fWbfd79/cKp0r9nmbcw9CFTZxhxwCh+lCFJ%20OI5vAEIL8kMjcm+OC2CGoMXk/J/Yy4FUzhPiT7IZAQswwUQxO34L1YVJ9TSjIXMZEHTWjhppQClm%20Q+8BRPqfSg2AzI97vZ/ZijlL5QMBAhJxJX/SDhK2ih7rNE1sa1PXfZDaecmtQpMUTnV0eOqUmTMa%20Ee0T7YTKoz2tlhCBDnyB5oZgwC+Zs3bq/hq7PrdFk314z6y97DvCBGFRPo+9M8vXuQ/jGerDPgkn%20S4PSvhL3JPUrCyWFHjGVIVNV9bX0zmrgEQc4vwStg08nEXAYF4ka42eWYx4iTQcI3St6LiHi2nIP%20c1DK59BUmO+mZbPbsAmiSASh+5Oomk2dhNZpc0hDIvGnejbNQMUHSZ9MWbLQ5eBUm/8+bbZ5axPN%20M39ow4TJPErjpJEygaJVTlN1rwAJP7loTK6hatVAO8C9axCaNi+77te8OZrG0JOcbE8ApeO1PAWO%20oLQ87TbypE0Z52k2Lq0GENTTIfPyurlJ0kCDL0ewAAe30j6YvTBqUWwYmgROjIxZCGiRtjF876EJ%20qazg74Ch7+PPoQmRBjG3vthiwEffcsxAQLSCKa1KX1MAkhao+Ki+altEGU3NZbMDRe9KdQNlgbQv%20AIJ/RNHaxzzmMS10WkSaKLaUU9nIJG2o0WqaZaJ74Qtf2JJ/UxaJv01tOhUflBoSXg+EEqGYwrHA%20Co2TNGsuCR/mnnCRuQsARGDY0LC+qNmsWXNoXdej5rNO9tlK0g9IX1kEANLYs4O2RfNDes9egNIh%20SbObmNw+Cq6GfWMoCh7auAGl3k9kYz/nOc85U94HU8KUMSzRWZgTYMEEbBpt8Ttg8phUjgn3f++W%2095Oy9JJnaUKzanqFqcWUgUa99lYZLrCjqeVIA6Ap/JmpCkAJ6tBvoeYSRo3PGPhHmKkwZX4SodP8%20KYBJQATziRIqxuMsGEAb0+Am5m3dbSZsHR0Fc/CbESxopUxwKjvQmGhQTHYECHMl+RWdADtTpvUE%20zBy85n6+QrX2gBpNmS9Ozlf8gt6XRMl1j2moPX3j36Lp0s6tO2tTv/gTaxHXXfGGMe/Nvcyn1vYh%20Aeo25nvsO/YClMZ2+qTdXzdAfDAYqyg0kVYkYYdvCTjoD77zLKDBoGgUNraNjonTRmwUGx64iWLD%20qIVxAyNgALhoJfxAJG9+IGAxrfwO2vcmlqEN3H8WP5fngQtGlHfon7FhxLQeCaSAOEeAY2I0JWZG%20fQ0jZrJLcIVIPMUita10Dm1A5YNdh4CPWatoFi2ZZkq75e8z3vjvInDkRFvjREu+Qb8BkDEDbYAG%205GlNgB0dzV0Yp7YC2tswm2VNSM5WxYJvTGI2c/HDHvawVlX9Dne4wxkhbGitjaHntu+NleMISqtR%20/ghKq9FvLU8nyz/RVzLDOfExaw5+lR1y1QitfCYyDVMnDfPVJCqO0xtj8gwtxG/Ag2FJpgRIflLC%20qB9Mqi3E1xHtp/psFiWANtIOBgkUc96Q9zO55cgEfiEaGu0AA6XV6acxaoPpEegCUiAWP4q+0JSY%20tmiOpO5UrN4G012UFoveZ+xMscZovKn9p8QTkGa+5Hsy3/E9yWUzVjT1m9lOaSj3KRiqKCwTLFNu%20jotYtD/ruE+faPyqpkvKJkwwe9Ha9N15TBLG/X/bZsVVx2dfVOFr1fZO6/NLg9IY9fYkEndd4087%20ARu1yJTPIUU68K0HIRuVBkTLkZPCZINZyTvBfNRJw7w9Z2PTeph/OMsxc8x+2hXg6M2DuX9Vxp52%209ReTDRiS7ANINDsaUj3cj9Yw7QJcrjAwY1eKnzmQmS+gNBQgsm/rMkxNvzA3DJvmRyuiwRIyCBcS%20lf3US64Yc93QhdnnIuS4Is1757Zok/VVAy70xZjMlX6omk7zB5iuTZkV17V/K70JBuarJtTu2xo7%20hP4sDUqHMLh97WOy6KN5pBy8WmaYqcKOyd9hcuNDcLoqGzzpGVMX8usiZTJXxf9gg5NAMS3MHPMf%20ArYwpj5ar9+sYVrroGXaTlHQmNb4hozbYX+qFWDGtD6AyowpkowJyvO+o2nxSTFD0gD6MkQ+4wOT%20M0Ubm2WKXMe41tlGpZG5ZsIzBmsGOCVhOFrsMu/OnObokVWFjUX7EFByv/nk4xLarxo6bVjOFVAK%20UB2S6VWfzY85O16rUeAISqvRb6mnezMYm7roMVFvwpsBjYx+ZjnJkHxF/C2qhmOwNAyMmgaUCDaS%20paKtQ7W3ciJsX/9tE9LiNILUd/lbWDfflwvwqjpA0+MbE23meyDtKHDOewCjCgTTprHTCiTT8jHd%20/va3P8+xGjm2IQf5LTVJO37InJtTGi4Qpx3nPKl0bdn5W8b8ug5yxGcWEKRZ0JqYX2n+6i1KTaD9%20BpC2BZjrGF8Cig6pz+sY97rbWBqU9oXwy27MdRMymsei7cZ8ojSMA7MkPCoBQwsQ1CA/SNACU5SN%202p+AmvdUwKlaT+ZnyCS3C5pV5y/th4kmIeUYE+2Q9I8xoQUzHIACQPwitD6+FD4HdAHgHPs0RgyN%205pR3ACMBHRh7su0XnZdd3lf9brRhF1AyPoJLAlh8vos5XJU2GV+iQGnDfpwppUL6LW5xiyZoSIjm%20Lxu7p+b1b9M0s36tvWNh23kzMfv7pUFptdee3qerv0ZklXBmtcs4d2lGNCYakOOpmW5yyUHBmFzM%20WgnRriaYeixClaaHgiO2PQMBSVI/jagmd9KMaIEuwQloRCtQgJSNnj8lSaM+Qxdh6oAL8+r9ZMxd%20wN3PoRUcrVrERS5ykTZW2rLyTw6RSx7MtvxA61wn0dSt0+SxpX2aL5M1oUPVjoDSOt+/6basu5xv%20tel3neT2j6C0o9kVusvcxglNG3rIQx7SosYcU1HPYxG4QIp0P/NAAh1sWmYtvqNdmWPGkC5MFEPC%20fGrEnHaYp9yTagXGyU+WAIjcEwAC3H4iTYeZa4NmBdRE+AmcGDr6Ykzft3WvvkeAAMRnnXVW67t8%20LZfcMWatHB/PlLsvFotFaWR8hBLnRQnhF3xjDCwG/EvASYRo5vWQwNdaY4o+tDlZdO62dd/SoBRG%20OBS2WZlkZRbTBlXV6pM4oRlT1PrXve51zYciYk6G/j3ucY/mIJX8GWbtGUdekxwlkt7whjdsobTo%20LTCAz0lZHTksfCrMW5FEQ+dFaL+NhWZ+AzqYLO2wZzqhTfKw8n36l3XWJ8NWs2DWEeDC3OQ7ASZa%20Wc3vina5jbGPeUeOogdCAj+AkiRZEZlMmnxquQ7ZRIT+6hdaE9IdpC0IcjA+pmxruQZFjKFh7t20%20qW6oTzmAc5n+Hp/5ewosDUrrJOJJBKJKn8pAnv3sZ7cD+x7/+Me3fBFaEl+BZMJI9Ex1CpZiSD6v%20Z+RoV5izH9oTidMxE5IOk81vc9SirOucq2XaMr8kfIxCxJyQdwwohUG1WfM7AjR1XUxjwtUcWhm2%20+mN8dGrjqfrg+Zjy9mW9Vcarf5i1Eko0CFUafC/Yw2eYNb9iaLkq015mHtfxDOC1niWFC3Gn1QrW%20Ofvss5vWX4+t3wWwrDJGlgxzdGj9XmXMm3h2LaA0T9PpGcosCb5KvkMD3heGsshk9IvzFa94RTPF%202YDCtjl2hcZimgCJD4QGJbGQaUoknmoOlZkmgglN3eNZmtfTn/70FpWH2Udi2wdfUqWTvitzI1FW%20mZkKSv28LjvPYdYSTq9zneu0KgEAnLa5b8wiYd3mSd/4DFXxpimoaEEgceKspNcb3ehGjZSpL5hn%20FlmH+3IPQPIDePgE/fRX5i9mu32bs1m0TH3GaLz7QvdD68dKoBRTiggof6cAZJXSLSrfkfaE6jJP%20hbH6LQdHEiinNZt5Eio9w59CmmJjJl31kuU+EztRcQltBUhABiAJd5Ycy/7sdFF+FCHPnPjMTb67%202tWudp5D7MKQ0KwCk89VQEAn5iral81Rgx6WZfDrpG+Yi8AFEWU5rHCdWfuhi7FbazRINfEweCH1%20NFKAvamEzHn06rWbzGWENhoShq1un9N9RWFaK3yPPo/AdqhVA4w3tK/CZ9an39UEPQ+Q5n0/bz7W%20/b0gHoKF33W+1v2ek97e0qCUApsWBkldDTLMFDPotR0M8853vnNjpsI9RY5ZfGqXYdSOZMCgJdPZ%20mABK9BnbOocvqVoAAPtzzDDzNKpdTpy+1QKkwrvl2whmEE2lSrdw5py/ImqHGc+GVaEhRyr3DLs/%204tsYQwcgRgsDTNoPo1sn01+FpmEgnMHGV0sbrWsuK9PWV+YgtMDkhRqrPr5Pvhg0SX9EXQoDV17K%20AYj8hOgEUAV7DPnOVpmPXTwbEO7nuzfB7tMcjaETILKuD7X/Y8a6yXtXAqUwSUxXGGcYYA3D9TdN%20iKTKVEX7UeqEdmUDMmMBrFRAZmMW/uroBbkrnPvqmMn0Z4KRf7Lvl00GnLPZlFABOLQE0q+Qbs7+%20hHUz0ySjPfXdqlQ9TSKsvhcaqJBhFbblfnD272M4dIqBJrR5XYCUNaG9aImYA3MmUOJ/i7bp966l%207ApIfIyEEWZbgprjNySQ8juKstwXwWId+24ftPZ1jGOoDevOHo+VZFPvOentLg1KdVOLbpK8mGTI%206suQAElKVSof4MjFcUlsBEw2nYkUYSQah59EciWJWtKoi3bB+e8ZoLRrhjJvUQRQQgf+Io5dTBIo%20GaN7aJcCGtAHAAOSqmUtMs7ql6AJqCwuATWh031E3ry+b/p781pt7pU5r4Nhaa+uP7QnvWZtLkLT%20TdEggFn9QYI+lIkieKGLRFJ7iaCicG691kGfTY1tG+3ucu5mjS+Clf7JU8LHqpC0r/3expwt846l%20QaluENIvn5GTTeNDwRQxArkHPqfaikwRUcZerko1LclmvNOd7tScnuz/tCl+EWa9RCGRdGXzzzrT%20Z5nBb/KZWt/uqle9akuA5OQXLQdcXRZwfAg5FnzMAo4PJeMA+kLEYz4IwI1pc5M00R8mKrXp+B9d%20m+hb9bkQcPiRomHvMhzc+ANIxs06wKfoiA1rXt03e4npOoAUrW+T83JsezUKZA2b2z64aN2WgNV6%20ehhPLw1K2dwmRA4Fs9w555xzhtEKYU1NK9FDstNJrTQiJ4wCJZFGNqV8HAz17ne/e9OOABsbu6AA%20/iTJpCRIJrGYMjbBzNY1ZdWBrb8YMMbDjOksGeAcCZ6Zxv3V2btoP+IYjrmAg5Umkit+rX3RlvST%20f5FmXUN/Fx3vMvcx2/FXRljq85yWaXOZZ6o0bT4IJHyMKsFb30yvCpOq7MEP5kql7H1e68vQ4qQ9%20U32ZSX0wxtOu2S47z0uDUqR0m5yvhx+D2pocmTiyheVWBsRxi3m6+E9EnOVIbswKI9UmzSlaRfwP%20Yb6Vie/rhq2gHSCV0Dl0vIBx1cCRZSbTBgB0CpQqX5Qos1WqSS/Tj6FnsmmNkyaQyLvcu87NG+0w%20IIT5C5apJZvWNa4x7WSdRovlPyKI8adKguYzdRYUYW4oWGjMu4737oYCKmyw5mTt7Stv2g11Fn/r%200qAUKT2EHwpAcE8AKYzHhNWQXM8ryFmvmL5S7yxSRzSQxYe32zv7RTnEfEPHZc1K8cmkHZFayhWJ%206MP0drkxIjykD4QWIe+iLbdxAWYATVOt5zNt493ekXH3886Mq4IBMx0foFwqloAcbhfB7hjFtRnz%207rrnP/Nsz/GTR8Ota2Dd7zzJ7S0NSlXKncb46uf9PbMYdh/OHDCatskPYYJm0SiBEcuMo5qFPE84%20kIQbZ+s+2bSjSW/SN4jOkVSdP8VvIz+J4LMKnZeZm/4ZfcOwJEjLyaMxCnyRIC2dgqQdrXqf5m0d%20Yz8NbZhbqR4VlE7DuNc9xpVBaZkOVb9QpMga9hoJ+7gx51N3iEaf/exnGzAxoe5SU+p7z2wLMJjT%20tnHxXUpKFpUooq0CVt6/LRCIJktLUreQb1VeniM4Hvawh7XUh1yHZhHYxlwewjsS5LCPqRiHQL/0%20cWlQmsXs5vkI6qar2s9QWZxdS7djJnMMAMyj0Zj3VmCihfBJRFMa06cx71zk3owxfQAQIg9pBq7+%20+3XSRPsiPQV+CLiJ9o0u9SDEPlJxnSazOh40wKyAo5JQoiSZ68yXkki59iUoZZH5Xcc9u1yf6+h/%20bcPaointo5Vi3WPdZHtLg9KynYoWxLcgT0cQg6AGErQSHfwhqdpgAysvNHSa6rLvP+nPoSf6VVBa%20N7OvEv2YtqUNYMzJP9vEXFQmJ/xcWoKCn4JpBM4w56m5x6RHY7O+UmF9k0mPMd0BSOkSAjBEBZqv%202ucx9MxeqnRcxMQ9y3Q+b04WaX9eGyf1e/vOelunYHNSaTVrXFsHJZ1hshBpxLxEcpZM6v9CyoXF%20XuEKV2gblnPaeSt9HakxG3dXk7qtPvYMRkQjv1L8Kusefx1XtNhFC7+KvMP4pyWyDjHnynijbVQ/%20Wkwl+a4mpgr6QAvVElS6UFnDuwlDQIFjGgNRYUTUW6I8q0kvZrdV6aid2jd94BS3B2owUNUeZ2kR%20iWDVZtX2Aqz5bBEGuai2MhTJGauHfvdm+czdou3Po/G8PbUsuM9777zvsx4F1Kwr+q7fZ2jb77Os%20+Soo9ELDkAAy657MYdXYe41/SBiq+XR9bcaheZu1JrYKSumIDckZyLlrEtnUVTwg3avoLLzcBHzn%20d35niyCbtxjnLZrT8H02BsbKn0Tr7A/SG0uHfjGaHwtuUcAzxxi/he4ZggagiPluVn/qoq1/90y2%20Ri3230nOVmUbA9cHCaqO95Arpi4ercl5VSLhVBWRL1fLPI2l17z76zg+9rGPtdJHN7/5zc8cdd+b%20qmdt3HxXQcH4p4EQpoEOwFhJq2hp7rdmgLe9xiphrgBlb6GYBXD6UZnmNC3uJO7lzAW6Sf5PoMOQ%20v3feGun9UX0bVRBM+kwFgaSWeE9oXWlujvKOAElfcb4PNPP/VGHpeYL31Gjp+t55Y532/VZBKZ0g%20HXLsYk5MKOrifeQjH2mfOcDOAWeYV05VPUm1v5adqEWfQ1ORZpzpQzlRi7YTphIJzf8j0WNsQq39%20YK40IAsXY2cyixRvIbOx+y2yzHNMdwqOqrSAMYapRuKvOVvZHN4rz0gOlnZo1z6zdiQip4DtkFSY%205OVb3vKWrb+0E8ne+kIL589xEqoyT+5Vbw6TrsxgXYy0gjrmpV2mQ2PqN3OvIfbz1gOG+7XPTInm%20fv/Zn/1Zo7FqIpKWzY25IrDw70VL8ywNEjAFoPQp9CVYWFNoje40AgxYXqEf8+Qzz/pJ3zK3te+r%20aE3Tnu2Z7zJgsOi+mGl2+gJNrP3qU6qafO3XtLFU4I/Wm6r3AYA8GzCKxlSfHdoLoZP7knYQQcLa%20MLcEk6zN6gpI21UYst9d1pFxC7CyN0WV1hShIQFlJh3XMRmLtlHNLgbEjGfjqAZx2ctetm0kJjvm%20FJNp82Cyi0rmi/bjJN+HmWC2GPAymzPPRIoK7TFzQPf2t7+9nRqKqXuXDei3ecOY3BcmxZejpFAW%20vu/8OOgwixtzzAaJNJb8qmweml/AMVJoct3iG+KnwUQxX5q4d2POfEY2CeCxyWwe7Vt3hB7apHWm%20QC6tStkrFdsjUQ4xjyFpMWuqN7v4vDKNbG7gjHkDdTTR33lmUGNHb8CCbgohC3v/tV/7tbZ3jBtj%20wFS807uM17iBB/BGj0tc4hLtHvPmx99oEJNiTJaOlTHPSebN2sC8BJD4bV78rchwzLLG7F2ADK2t%20AfNljNaJ9gCc+43JunF/GLg+ud/vRfzJ/RytAnx1HsNMZ7UXzcU9wNvc1PsrMOdz69x8Wa9+W99o%20ZI5o8eh++ctfviXDx8rAH0urxw+VLRNZ6jMVQXxO8FCaSnUQZmr+eD+CfQhh6G3NvPCFL2znc1l/%202kZ/RYD9KOXGv2+fm3dlr3zv2J0b3OAGLVpUn/EX+0fNTnuMwMfq4Gw3rhfnxJnrrP2x/HYnmpKB%20mUznxDDfOS/JSaFvectbWqVkFcdJ0pIsVXxA3N60MXag675/nvScBTjvvnX3S3sWfS13sug70tf4%20DjBJwoOjSZR7slksyEtd6lKtkK6AARoMxoHB+D3LhCQcWj1DPkSH1gEL/YzJIcCTE3jDzDFNJ9Yq%207muzeJfnHKNt02HENqb7cvqnMeu79WVT2kQ2Pw3cM9abzQtgHYuCeTq7yAbEbJ3F1Jurhsr+9ABV%20GVKYuN/GVivHMyWyEKCJtZ5N7F7j9KP/Nr3vCRmCgzAx4/W979AB6BinH2WrAASmA7BJscDBZ/6O%2032xoTQAwNAwjBIBo5gfdgU8YNSAlXTMFesa9+kQzw5w9o9K/MUSo8Lk15X6/0cMYzJm+asO7AZR+%206i+6+MGwA14YeEDNHFkvfgLE7vd/v5cFqKoRzNo/tX0MHSNPHl6EDOvUOO2daMXm3ZiBkDHrKyCy%20JgEEq0BKkHkHSxIBRtuEB9Yka8FecqqC+QFU9hSzMBrbrzFJc5WYP0fo2APWvHVuTXmn/UzLOffc%20c9u8oTGAJcwRfBR5JgQ5Hgc/vspVrjK56EUv2kDLGNynXQCFv1sfQExfc2rBonxoJ6AE7dW802EM%20Jr4PGhI/QBaxRWgx7oKxL0rAafelz1HB50nBq76vPo8R1ErFi7ZdN6K/LcR73vOeTaO9+tWv3s72%20IUDMYmy9pFnfbbEmwdCmMs+O+57XHuY0q0wQZgd0bCrrKflZghdIfTaz86YE0di8AFFYtnUHHCSz%20qsVIyuRfcqQKIHB+VzQa4xjSnuraHPJ3ZfyZf/OC+evr+c9//gas+uI9mAHAtC8ixcZE4xmMiiCg%20jqS+AxqMDaD6CVgvOt+9dodJrVqTMH4Ov6PVmWdXkrqNJWCFKSboxD2YKbCLCcl9mG9MqqR9tMSc%200dDngNk+8+Mz8x9tC02s5YCW+XK/NgABAPS35yIUBTj0M1pjpP4Ix9WPox0Ai3cBAWOyZ5iwtMs0%20bC8BENo5rRx4KDFFwJNHZ21i7qKP9QOTt9ci2AAN9AMQ3q3P+k5DSR1NfXQGHZpZv96vhBWg4bOn%20pdKSgQuaAx4/+qVotvlSGNqeIGwktcT/CUISvj3//ve/vwk6gNK6sx5ZKGhrAJX2Zl6MMYJR9ski%20QsLWQSmTauHUg95Sq22oHMwhgpIFUm3dy5jSxjKX3G9DD5k89aHm6VRzam+qwMyp7BYX6crmqVdA%20L2a0aqOOZjDkQLXRbSZM2EaxeTDXSqu8p9c2qwM2zMI9mEgfPGEDY/CYFwlWBJ4NFQ2dRGtzkjJp%20SExgNhhgMnalf1SzBwK+Z5awyRYRLkikVdPBSJnHbFzMijaRSEQM7Q1veMMZMCCEYQz2BkaRfvk8%20TBtDwYwwDmZL9xLgADfaApZFNr/2Ah7uN5doHM11aM1Wpjy0PqumbF5SDX7aWg74atcaSlFhY0Qj%20TN1nvkNHa9vnaJMjbjxLMPH/aGnJTyO9WwuVKRqn9ur4zGs0wwiS1WIQrT2+M31K8Ig+xddGGwIo%20TMHmwz3WGKDwTuvUvdaSIBeAwCLEfeH7O9zhDg0oXN4RX6tngA9wYmajqfjeeK0Rfcc7I6CEbvpA%202LcetauNmBg96//2AnoSGvUnlzaTrpMjZ7QvGM24AI7LM4QkY/d9BAX+0lyJC1iED34RKG0DADLB%20sbeGwSzz7mWeqRtk0c27DEBoexEmtkzb056xsEmWpPAwHb8xC7SqIcQBzp7RYNbMVxic40RSbaAG%20nFTAMc5q+6/jrouwOskt6PiY9GOW/b4Hp2qnT98rkGV92ZiYN+mUuY6pzmc2IYmUGYIGRbJlnxcY%20YsMxH6vgbaMCZFKuivU0J0zDc8yJCewANsxrTDQAB/P0PSZpLiL1ew6IMD2ZH+/z/5xFRqrHOCKp%2061ecx7QnffQukqp2vct4Imhol3SsDUCP2WGCGDN6+zGnkeyzLvK+0LB3avdrLUCCKSaQxTyggWfN%20MxrQXt2r7xih8WGE+u250C9rJNpO/FTAJAChTXQCwBif/ycqjNTuO/cDDTRAC0Es1q490Zf+yRrJ%20mrae3RN6Zm/4nT3sfWil/+jvvfpjHbvH58CIYEMAipYGlIwboFSrgPWUixbsqhGz8bH6HODQqOql%20L+bS2PsrwkBSMCLsx6caULZ2jIGJrV6JnE1/q78w4w2AxWwOWGugh/Z859mk9dR9Oo2HLaQphWFM%20a2SZz6cxmh5kdumbWWZcu37GgrHZMaUw+0h8kWLjCE/iJhpX6dDBg6Qv2kUAadq8LDLeMJ2c90Rr%20ABDJqaoMYJH2+nuGBAubUvV62pLNw9SAaWEWzEMYNqaC8ZNsHZvCp8mnxLwSid3nANfnogbZ7dEN%20QOSsJvf6SXQaJsH04v/GTCoGDv7vJ6YlGx/Y8S31TMF8YFRhVhlztF1zSPpNJB1A0Cef0aCYcT76%200Y82ZggAIjSQjEm/NC/jkHahf/pCGsaUMVw00k9riZAS7dd9vosgAnwTDYkeCaqIFB/JPUKRfvgu%20IBPfkPmKoJOoPsws/fRcwvW1hZHGLwWEqj+zFwQXCZYIfav1pl9naCAB2zpAV4Bw4xvf+AxYODuO%20+Y45K/tPG8xf9UJT80Nju/SlL932mnXqIFRCCEHI+pS+wPQM7DB8PhrrgZChL0x5tPkb3vCGTRCp%20Gi6wkZunXd+zTNjP3mm95bwu7QhesnYIaPzHvmNONHfXuMY12pl4BBr7SHv6iy8AffvKWIApi4JA%20IW05A8+7HGBJCGTaXERLQqczoFQ3dlV1I1GEwVXiDjGq/v6+I7Xt/vlIvVWDQujYetNW39ch0OwZ%20VX3XJrWjZZjqOp/BgIwPs8mcZZNaLI7etsjQwybHDC28VO5+/vOf36JonHXFRFCvMJZV+ouBYWwA%20AYAmfHwVwWfafHIcYyLGJGAGg2M+s1mY5TAXm03whftoIbe//e3PhFOjCToBLj5Qp8ECLhuc5MkR%20HU0Hs8DcY9+fxdyqtIh53O1ud2u+LBs9AkTWfQ37zb6I78d4as28tIthAi0+invc4x6tj46Q4bMC%20WMbEl4WpMVVqN0Dju0j4mJJ5wtS1CXCACNBFN7+BpzFXIPEckIl07Z1Zk57RljbHgMUyay78Iqbl%20mCanMcfwnyFeYQ+JXHPOm/lPZJu5Q6NLXvKSbV0ZU81Tqj7lBCDxuxBGmO9ok4DAb/uNIGGeaPjm%20lu/VPArWoYWhJZ8NczrAIlDRumNeR2fjpO0TGIAeTU3wg+NRBDxYpxEyjMu7gAjLgHXjBzgqgwVs%20HvzgB7c+AFraHmHPOAmWBBjv9j3wBD7AyxoArvYOMAV01kQEklnzOagpVfMIQhpA9VH04JDw4TCH%206vDNJtOJ3seQRdBLNlVq9111Evdt5J1Vo6oErwwgIadDADt20Q8xwh5kx7a57P2VoTOTWBAxA2B6%20FpjFy0+CBkxUpGKfPfShD20bxKayYGwQf1uQmfOMa9XxaS8JhhapCCQSfn++0lg6DPULTUhuHL0O%20WHSSMbOKkGhg/OIXv7hJsLQGY7WRbHb0s9E8i3Y2s033yle+skUpAXCbFI0znjH9rX21TwAi6RNz%20846hZPHsk1kaYt2zCfXWd3PsZOccHKiN+G6MDzPBBPnezIm9B/QSNOG3nzDUMeZoWhsnP20ugHCT%20m9ykrT+MkhnSuzBfIO8dMQnFdEUz9WPOBKPwe8TXgvECxGl+6AjIlXfF5BceNQRA4R+9UEdosW9o%20ZmiCydIOCVcu3yWooz6b/Yl22iYwMsV5ljDiM1oXJp5oQsDA1whYCJoACWgRpGgjBCYClvv5ZoGB%20PmU8/iY4oK8+0dQJJ2jn/z63DvSJL8he8DmTYqI+CbGEq9vd7nZNmwJa1skHPvCBBlx8W4QUawxN%20mGlpbvyvfIL4jhqPMdkmGnKaUJD1fQaUwrBDwCwkL9VIzAAkIpOcEFADj7PbpBgIIhoswiXiCvEM%20Vsd9XkM4vRvqIhLV18bMotSW0EYT6ZnYfd2jTSivTX2E5O4LYPgOAbVvQZuUVRnrGAa0i3vNl/mg%20qqOXjY85mJub3exm7YTT6kMgxWCGpGaSDnPE/e53vy8qmjprLItqOdYEMwMmnMz3KlUu2s6svlQA%20tT6cU2StAibSKE3Iu4Wuxj9jE5F+fQ54gDKfk2gijmIlsKwjG6w6oqf1Y9E1ZuwkTtI3043oRuaf%200GGeRt+/J/4R4wauoq7MdS34qs8BUwwOs8Nc9QV95JgMXbNyBXsNI9FstFPMiobpeVGNctRo5zQC%20Z0mJ6mSOAjzmQ7Rn+medPPaxj21CgXVjfZoHTJifUJ4MMylm/apXvaqFVJsjQhbtwfoHuCR74Ot+%202klvKq3jDbjHKpCx+RyY8rHyMeI/GDyTV5LUMXbVaRIAMG0dZF7xRuuOppVEVPvU/4GMsdjPGDw+%20CHyZw6xNPNRcmWffm78amKFtP8ZtPRO+zHP8kuYlkZboe7GLXexMXph14L3obe/gyUx+KTaLr9Ka%20fQbIgE2E4IT9A8Wzzjqr3eezCAiLCDVnQKlqNwDBQjKhpGvoCJ2p+hYJQlIFSaE2LOnHS6maTCUk%20HxOGYFDWwnH5jhnExGF+LgMlqUJh78UEbE6D1KYF5hnvZVIyAZgmc4RJk+hoAhGG2Ym5gv01KrJY%20+uSx+P6kA5PFBJwdjWCh2YAWqwUGsHuTiQXnJ2CffJlovzGdVgbpu94ZXgGlSkJVa3UPycscEiTi%20C1gneKcfea9+Ctqg+Vh/AMBmJAS5jEWIOObsc5vXGrL29VUfCWLs+9YfST6afKThMJ+qrdQxTdPk%20bND4juwB78UgmFyGJPlZdKqA5D5h7vYoyTemnTBYbcvrsseBrD1C8BPcgcnYU9V8GIG18oihvkQb%208h0mC1S0n4obNNUPfehDzQeFYaIvCR7N7VGmnkorpioARTt1nxxGvg5RXWgNmDBx4AokaB3aNBbf%20ARD+FBqVAxWZLM0n8Kg5Y/obf8wQQGUt4TPe4X2YtbUA8GKqxSdpD7VCRy9YmG/8E/+bFsKf/k2b%207z4S1n3J8cr614dqfvdevMCP8VRrFPCOImBu8BA8NBfaoFcCKggRoVlCwnMvvtxf0cpidZuXdvBF%20mlI2qsVJKrFYSB0m2KQmvJLKBkAsElpIEB2YMBVYoADLIgRKFpzKDf6muptM0g/pCYOIZO/vJH4C%20Kv4PkVN+c5hZAMwrpCqLOQubWYYERTIg0WAykJx5hARscdIIoPeikmhP3EUl4HUy2WXaIp1gopic%20DWTcTAUEDEBFa+jPNErGfd4XGlmQkZIxmjibs9kwBVf8EO63+AJ+2dDux4StmTjDbYaYOyJJDY03%2078rvfh56DauCIuEoOSTWMcGKxExS9x1fCm2RCcaGJE0SXEihQNy6ipSpb/XdVYqexdSyp9wfxt0z%20eAzbepdQTtgiCddox3laUwVKewMTBqaEQgyqgrT+xE9BQ3ORzmka9mb6GTouIt3WdeNv/ACDUmQ5%20a8g6xMgJPj7D0KxLmod1gCbRHrVhvsyFPWy9AiMCL5Cxjq2fWG0AYIIAPMMUi2fgJ8AEI6dhmM+e%20llXTs8YBNrOyNQ3UjSXPWAs0wKELr5N3R4BnEqtCQO5HS32eVlrKfXXv1PdMW//uibWq3lMFtKzd%20CE79nEbwSBWJ+DKzBoZ4X9Zw1uk0S4dn43ape2Yabxv0KVkYAINZw6QCJoxE8hSmhPhUsjj+TCKm%207x73siva9CYzYY8cxNoUzUTzwRwwTmq7RRSHLak1BGBKwSRIcBipNuTO2GwkA32B3hYfCQgTSbJt%207KYGjtBJ2Os3zzJMf9+fAcI2KFVdJJ15IDkCczSkzjPjUcMxiSxACyeOyDBPUg3fj4oONizBQJmT%20lJlh4iJweI4QkDIyzL/WSPIyQjPP+S6bg2kxV5XIA1J1Qfd07zdg3fj5u0plmCAByk8qJQAl5goR%20ZiRz9LDOIw0OvXOISdfPAESkS8/rZ2Ua05g80xVQYMLjeE7fq7N86kb+AqPLxUpgHxIOaUFhSOmL%2034RDEYWJFgNSTL1K0ExjLtM+r32Kz8ZnNFRrT7v2q8jHWFX0y/5NojCQobEndNi8AyIapOgun5Py%20afzGxhrgXYAj+TTmLqWuCKuSpwnSglq8G9AA/CFTpLFlH9B4CLXWi/7iZQQXGky+w7MIEsyGAJHf%20zp6znq2nSut+zqYJt/OE3nnfD4Ft+jEL0Pp70t9576vCX11j0/bpLJrUZwZByYbCwGxOBKfFMJlh%20QCRKE2GhsZ2S7jhUTZDvbGZ2fFKn7yw8k0RKMgiTjVlyqFMROfxsDMBmEZDmSakkEpoPBsZZqi0M%20BENMUl1KopD2mGfkRuijxaVd9ldSGWajHZu+Enye9DmNAez756Te5GzYnMAhmx2I+94cMEXYuGgE%20VNj4mWBJeZiTDY/WpD9CA5+UOSIsMP2QOtnTCTE0XlIx4cS9zIcYPSmXBJ4FjMEmnydlabKg3VPN%20i5V56x8Gg1HFHGQ9ADlrzt/GTBPzt2dTVywAi2mlegDwTDtD86nvnmeOMT5gwe+GGYq6I+lilhzR%20Madgeimw6v3obg1bp9atzwhQmCS6ogNhynxgppzJ9gTmVgN6ouVMA7MqkeurvWXezUWuXqrF4O0P%20AR+ETH0QbIF5x3RXQaj2oWdwdR9lngPKtCX70+cBAyCCdwyZoepaMBaCLsuHy9oBCoSf/gJouaxb%2064VAVJOqrde0U/tcrQKxvHgHMya6ERDMO1oZl72E5+FVxuB5QjZgNZ8pRroIiG+al/RzM+190wBt%200/0ban/Qp2Tx0C5sAtqMibIRgQvmbmJMGOAw0Wy9mBzmkHIn7O8YkqrfJhYTIHVgGiQO4ITJMOP5%20bYNYSDYspmbSMUsmKBud1iZsV4w8sEywBOaAGab0vtIdLvZUGz3Z8u7BYIL+JwmQeonGuJlK73Wv%20ezU/CL+c/xMUaJrob15ckcbRFa3MIW2KhlujeUiYmDrGDJDcH1XfegAW2qVZAzd/Y7zurxJSKn37%20jlabOnfuse5IzgQU2pfv+ROYeEQJ6j9QpW1bJ367Tz6GZ5TroVUzz2FgmBqt3Tq2ZkizzGPMP8aa%20iK9Iydkg1qF1RJMEKoQtZjDvtgcwWfQgLLnkapCchdtz5NsTnlFxnAYCnIAawFFzDEBpy1gJTNrG%200PhoAaUoLM9hwPpYI1DrJg5Q+CyAZZ0DN6ZzGrEL3bwHPe1Pl33jez/JW9PPXDXysu6VanaswVF5%20rpr8hsx/0Xz7fdibdRJo0Jsw6//zziHmr/9D98Y02dMxn+NF5gOfIqDRKK1Zc2VvmFfmQMII7ck7%20CFd+EzISwKX9IfNdz4TnaSP9/WP/X9vfFs9b9T2DFR0wI3bTgBNVOw5hG51WkrIniIQBWeQYHAlD%20p0hemKG/TRRACQOKiSTVh0VE2egkKIvBMwCJeTBOREzAAtFGqhXoH8ZgUSB+MtYj6WXTZSK1PyuK%20aOyE7+v9GB5GFBBCNyDic3kG6E4CJenTgjheCRhCs2nGNl/mBsDRmphcMTvCAfOXS1vmh60es5M3%20YW0ADEzfPEQ6Da1Sqdt32g4jrAvZXHuOoGNegRINWB8TrQfs+DzNJ/OitYfxY+y0J2ZGgOxv7xI8%20w1QMkNAF2BhXgg0SvKEf2uMsJ2UDb5qj91jz3k8jB4IEJlK83A/9SfFQY809ANx6j9nZuFIzzL5h%20jsKA0RYt0UQfCRHGR+AjcIXBVyaTv6NVYaL2rTnAWLXL58vHRJKnHRkTjVLUWC6hxczj9r05JXAm%20CduaANKERNqC/tlv+tpn6WtvEYl7mvTePxtgquAztOeGGPu0QJFpDNPnftCA2ZG27cec0yD5vYBR%20IsnMtQhOtAP4aGverJPqJ12VQe8rj9lkv86AUi+5JAorC80kI7iFiLFESvJ9ajX5zCTGpu7v6ifw%20jiSykQj9DSi0WR3vnsnZLDZEpKtU360btKrL+pIIj/yd3IA4ons76CaJu6u2gTNbfnwRmKqfXGiB%20UWJgGH7C9zEjAEPqR2u0t6kwXtoqZgRwCAZMchiUdSIQxX0YrHkkoEj285l2qiPUvJp3jFJkVrSt%20rD/CDABiUqIleBaTpeEACqbkVB9OJQWf8ZkJL7Ye+L+sL32xNmk3+krICbjwp9AG3RdJ22+AxQ/H%20f2YcTJzus0Y5z9WlA9oEKe8FnLQ+mhitTMQbTR8Dd28iwoA27R7QAHUmcICHfhgbQElSKbMQrQ4j%20FLBA+xsymfksGhIgpTn6v2fQEe30CbNU/wwQoQFmW0GJj8b6YJ4lfOibz9zHLIbpEmoInEyUABPI%20Av1NSvqrtD3mWXREK/sF3fpyPvYN+g1d1qYfl7UTYPN/bVaz5a74waG9d+Had5m4IeSvABWm36vU%20YUw1CgPQDeUDIGIWFYk97UcdrkSun/VmmPpdH+3Ug/AiEzdNwlvk2W3eE79J/DPZHBEwor3GVl/7%20hrm6AEeYHlphqKn64HvaVa5k7qfelvsTPtoLARg6YQXAALpqAswcYdI0NmCSUjtJJASmpHfABdSA%20XI5/wOxJ+tpOzS79AChMK8CaOTB5XBhsyq1kboERYKNBYlDAAvgxYzM1RzDigKelc4IDKNoo5s90%206Z2kaJoUfwSTN1O2+QDcQBxooXEiyAAf/xxfFr+Td/O1aofpPOG9lZ7pMy2GuZHpiZkzwQ3oSVMU%203g58/b+vTWYOY+VI8BB6oh9a0uBoTcYInPJ/wsuQ9rbNdb6ud4VP4E0AlxZsfmi1hAZgQ8BAhxzR%20UkHP/kpuljWbiNQaIr+uvm6rnXka3hjQH9vnhWrfpdHa0VmdnnXftO+iPg8NoALK0HtnqeRjCXIS%207k8F6kjRQwto2mdVwOid7WNpU9+ROUo4rLZTOTnVEXK/BEefYdpMdhgq8xuTWNIASPABQ+YSzDbV%20B/hkoiFj6t6NycpTi/mWpmddxaSb/tGu+KZCO36gMF/vCFgzMfIfVZCgZWgvmr025EXVK+WfaoWF%20+j0tVbCBC3jLZwGAAJw2Y34yBn0GeMyHNDABRsZbL4AGrGiXQJEWx4dULyDPzGfchBJmb8EsQIhv%20itYEbH3n/8ykORV67JrY1/uz1oGScaOJvDbzT8gQ5CC4S+AG4QytCBS00wgqxlYtNf4/j7nvKz12%202a9RoLTLjh7fvTgFSL5hytkY0ySbftOMEQD6NhfZgEnCowmQ8CV5MiNWLQxjEAiDAUT7JbmmyGUi%20oOI7jKk3TIF0q2++r8nACct2X8r59CWyAih5PuAUTb/P36imP+1GOwVOKdnTa+y9STvA5v6AZHL1%20mMiY8ZQ2wiSrI51JTVQsEx3/FHCi5YUu+oaGQAZwY67xT9W5oxHQDAkz5sUlci/9AmQAKUESMf3l%20PaHJ4it0v+6sArG9Q/hBUwKQdckES4MVqGU98PMBIr5BvsS4LyJwVX/WJjWK/aLi+nrzRaC0CGNZ%203+vnt7TqpG5qPEPtrtrX+dQYvqM3lTIhYF5J0JulhY4FllljXGT8qcnFX8EcQvpkRqvJotph5otf%20LPb+mHuNJ4EJCVRAmXwfc6X7KpjU/uXvIW2yf6aCSOa9H2sFHvck+ittZebqfdUsnf4zNdZ++z8z%20HnARZs8k6GI+YxIUvMHJLsAjfsPaf/SuFatrP6okz/Tan31UATeAVFdg1tWm9tiy+2GV5+wbplKA%20xEQs6s66Yspk1qR5ogWQSsWPvM9c1eNYKn1X6dO+PLvI/l5HX4+a0jqouGdtkN5IcvsUaVjNXLQB%20dnqbm5SZSuFZ9ExczFVMSjY+H0mYeQJWqtbT+wtngfC8qerbCliEwaSPi5iRp2mdQ/1Nv2q70dbQ%20gkYk2IPfielShRWAjkmKbMVEe/DW5pAJdQice8Gm0mkWMxqi1zwa79v3xhchJ6kQKVDLXCsXiQZs%20X/Gl0jxp8wQn5tasSYBGEz0JNNnlHB1BaZfU39C7+Rkwq328ckyyMlVhuqmyHLu+QAWaFNCiRQEl%20Gz2mtp7Zbmuc25IUMz7vC4MT/cW3o2xUar7RgpT1SpX1qiEN0WRVLXdbdN72ewLI1leSbf3dV/UQ%20eZpLpKcr+XC0JMDFDzgtyXnb4zrU9x1B6VBnrut3JGxh2xzZCVPtzUe7Hm7Cz0n5NKT4f8KIjUNU%20IE2IGVKF62o+63NXdj2eTb0fnap5D13kyzAb5Vwj5jZMNMB16L6dTdFykXZnmXF7bTNauzmpwUD+%20X88I26YQs8gYt3XP2HH3Voe9B6V98t3Mm9Te9DLv/nV8H20jDEmSJImNOWefrkobGxngYK7MH6kV%20FsBhy5eIy3QnXykgVSMD92lsm+pLny5hXpmPmD+ZlZRBqqbK0wLYm6B3z2f6QKH6zt48HNOf30Cp%20rtN5/rZD4m+boPtQm3sPStsixKG+J6aH+GyU3RE0QIqOw38fmFWtmCDsWt4QMGKDZ5bKheEKt1Xi%20h4NeaaihfKpDna9l+505TKFWNKwJ7su2e3xumAKLSvvVV2qNZ50f6bo8BQ4SlHahkYwl8TwJadFF%20v8h7q++B+S7ntPgck98HG3elR2rq5VjvvuaaMlIqJdCYmO/2KWBjkflYxz1DAQrapR2ZTz5DQSIp%20B7WOdx7bWI0CqaCSuYuZb2zgwyzeMZZvzONDY0a8bFtj+3yQoDSGkCf93mrfBkA5yrvayMcuik3R%20LItaAEPNt6lnAdnAEktF4NGm5MgYV3844ab6uO/top1Qf0ANzPkP92V+9512m+pfQIewZW6sV9es%20iMZN9eUktHsEpQOeRYu+RqQpLyTUOkcTY1b7oiVFY9MfRXeZn5RjATYpYJmp4C954hOf2ELCZcw7%20mDGb/ICna+Wum+8k14oMy9lBp83XtjIh19hAhEJN8oH6SYqDz8ZqSWvs2sE2dQSlg526v8tBCTAZ%20Rgp61gK5+7AxAo6pEZY6YXHU974RQKWSgcgyRzqkGnXyQQ54ylbqevJp/EazHOm9bcZ3CObzlQg9%204mG0IERZ0wJ3Umh6U0LUsia0eUNaRNte9t1jgzmOoDRvtvb8+xoJJLeHySumrmUX0SaGXE0ZTHc0%20JSCKufKDxUSn1I3SQ04glkWvIKpK5oC2Rhpuoo+H0CYTkXJBCruiS53/vvCu8Qwxmz56bJlxVwf/%20Ms+fpGey34BTrBUBpUWY/UmixTrGcgSldVBxR21ULUkXmO4w9Vz7EHWXvuhrNm9ycACo6tqO7wao%20KSuk4CeTnvGoFi6DPgC7T0C77WnH4Jg8+S3QBrj3eUr6lJp0lfZZCzH1TaPjIn6QCkhp5zQz39AD%20LVLkN7RPnuBpXrdj98kRlMZSbM/ur1JvzGR9eZt9YBjpg/6yuztGwlEPzvBxGmvqrjF/qOnGn+Qz%20FbL5oFzbNlPty1SHoWFwJHGA7e9U+0aXADgNVCh9mGMEAX4OZtBFaNgz0IQ5Zw61QUuj4cozA5KL%20MN19WIebmNPQBx1o/mPylDbRn0Nv8+BBqd8M/cKfFlq77YnbxIbUZmUy8dnsq/QaGgAejFPYtxpj%20Ds+Lqck9GJ2fXDkMkoZ1WsPDI3wwc0abQRdM8OMf/3g7t0mOmjXgzKhb3OIWjVY0UOZQZ1Q5O0ql%20a8+nmgaGCuS044hvydf8eMBNtWxzJZcs82O9CdVXHJZW7iRip0Y7hoRJkbabQsDaVoHCuwTfpC7c%20JvbCtvdzfV/db2jmAEtXNKdFAHuZ/i9Cx1nvXuT5Zfq1yDOz+nXwoLQIAU7yPYn+wbBzWNs+mg7q%20ItRn/qT+OO1sEr9J4gIhMDJa1bGEzt/Nasya/qYFvfvd724n2CrU6uwmgOEYCpfj3gGNoy9E6wEY%20ZwWpn6fitbOa1BlUXPSqV71qq6F39tlnN7MgLcx9isE6+TZaFtB7/OMf3+51yKJ5xIjvda97tdwp%20pwWrOqH+IsFCjUPHkDzsYQ9rx2ucxCsBKGjkRN5arT3gdBLHvakxHUFpU5TdUrtV2sFISKcx2eyT%20M7pGzgEopjnFVkn7rjjpgStfE8mflG+jOyfICbSnPfQZMAMaQR9Ok6XNACHais9ditcCB9+70E1Y%20Pa1U0Ijj2p3Q61nHXwCVC1/4wu1sK5VAnLDKb+VEXUdiqLaRU3uzpGm35oaG5l65U4QHhww6St17%20nPXENEtroIXph2uX0vmmtmR8u/adY+xd0Wg3pSVtaixpd5f9PoLSpmd3w+1Hg7DZBQzw15BWXYv4%20DzbcvTPNJ3IuJg2SNgmeCSgndwa4AJaqDg5Rw4BJ7gGufRrTtmhXmbmIRGa5VFlXMZz2dM4557Sg%20EUDh1FhA5GJWc+YS09p3f/d3Ny0GDdFaYjJzW46nByza1455YvJz/HzOUoqQ4/TZ5z73uU2TEoTC%20LOiId887VuOFL3xh06QAn756D59XAKkGW+yS+a1r/tAzJym/5S1vaQciAuGTCMDrotmsdo6gtA0q%20b/Ad2dTMXerFkYKT9zMrkmqeL27dXa6VrLWNWcnryOfxj/lN+ifZ+wFQOfZ83X0a094iUWlj2htz%20b+aKFvzoRz/6jImMFnKlK12pmYyY7pjJmDpplk6HxfwFiVz/+tdvdQaZ4tCddkMLyim0GKoKGuaC%20puRieqNFxT8UgYFmKyRdQrP+JDnbibX+r53HPvaxZ4YHCHMF1PrTfCvojqHLPt1rjmiU5gcd4rs7%20AtP4WTqCUqHZIS6gbHS+AwxHAdNs8t58V/1PJFf+BeYxjCtMd5OSa6UvDUkfbGRSJYaYKCa+D/4H%20ZiWAxCxSj3Ewvk32c2gb6VulZ416HL/txj1R38vPhiaYf6ph8GE46M8pqbQT3ycs3LO0IT8u4wA0%20Afrc1weQAJ8AUgQG9+Y+n9VqIfX/0YoDZExZfmhc3g8g9d0850LPfTtmZdwsTZrGyVJhX03bg2Pb%20PJT7V+Gd/V4+caC0bWa1i0WTMVY/DVOXhZGotWkbvNKHRsIPdeUrX/lMKOum6BfQE+qNsWGSyvzb%20wDk8LfeIzOuP8K7llHZBc++sjBvTDpPeFM36cXoPxoeZ5/RewB6g4RMK8AQ0a/CI02pp0Ze97GXP%20nJZawZWPj8almoa5YfqjeWuDdkWzSq29hIETJpgPgYygCe2bu5hpAZegipe97GWTBzzgAS0ow9/W%20nGK7zIqf/OQnm2nxUE1e2YeA3vxUzXAVZr2rdb7r9544UNo1Qbf5/jBDjImPgZMb40jQQM8sK5jx%2009BGMB7a0qYv78ag+L0wpvvf//6T853vfI2hVs0nUvaufUeR3GOiih+Ggx/jzeFu2wKkzA8wTOSi%20eavBH7WiQxilftOumPZe/epXN98PwOEPYuLz/2g8Iube8IY3NB8evySwcS9NjF+Kf4l5CuMVeadd%203wNrP6997WsbYN7znvc8z/HsfEpA7Nxzz21CCPBxtLhgjPe9733t7CzvfNzjHnfGv3iozDzWiE3v%20p5Pc/hGUTsDsYiZ8She60IXOmA2mmZeyaTBb/gc/YQDbAAKOdr4Q/ZN8KRm0XgnckN9CguZ34kgX%20DLHN6LvK4EMX4dICCgDq9a53va2aEDNvhAgSOfrRTvJ3BXbfxdyo78AAnfk5aKrASVQdIPmxH/ux%20M0KJZ0TyCR9/4xvf2PKdAId3mg/z5gewaFfEnmg7PqQPf/jD7Zh2WpF7csgkOgKqa13rWu1H6Po9%207nGPySte8YrJb/3WbzVQo1k5idgaTtDLIW3LCCYRvGogxyGNY1/6eupB6RAlsvQ5mwHDYFbhTwhz%20qqBUx9h/nja2RQcSMQlff/nB+orK6Y/8G9I9iR0zFdG0rbJJ0db8Tni9XB7aBYZLM93mFbOmd2Lg%20QIO2RJNBv2hFVROuIEXDASCi6YCQShrAQ9JyNUnyh9CKrnvd67b2+YCYBN/+9re3hFqmPAAT32X8%20fYCG9vPKV76yRd15X94fLUxE3/3ud7/WHsACUMbinULI1To0Llf1oW1rXS47n73fNlpj3YfLtj3v%20uVW19FWfn9e/Zb8/9aC0LOH26TkObhrIMjb5bW96DD0nzgqwqEwxm4TEjkEBL5Lzt3zLt2yd3Pqi%20b/ry0pe+tP1WuYD5LCH329zUYX53vvOdG1CqvMCMNnT6bBU8ABazrsg7QSVoaQzMkJ43roAaM5vK%20C8BI2Lf70MC4CRNMcHe84x3b+82NfCg/LmClbSBUDx6sNFJlIleeu/SlLz251KUudUbrPLRgh2il%20xmXsTJdoUbX6bVggtr5BNvjCIyhtkLibarpudItf6LQAhxQ63bb2M2acGCGTHKaGIaYkS8xT8d3w%20M5DE+S2Euqf+3Zh3LXNvAirQUjDBC17wgpYIKgT6da97XcurqvTdBjBVP1tytvTN3A+dlxXNKlFz%206ECL9uMZtI9WHVByLwACKMAooOx+2ozLveYu/rYazu++GtHXazzRHDLPAdle08icbVtY6tfKrHnt%20+2YOMo7QJnO2zfPM5tFsk2u1tj2vH/P25RGU5lFoz7/HQNj9RTPt8xVpnPkGMDEPYbCk98qw3Icx%203vCGN2zmHb6QaCbbGF8tZyS5l0ahRI6+ikBjLksyaWXKm+5bGF/oiEZ8Peg3xGyGzLf5rDINY6iS%20fMCp+hmjvaQPFVAy7mparT6WSpdqdp52zyYZ5ybnKCkNT3rSk5oJ9MEPfvCZCMRNvvcktn0EpQOf%201ZQVijS7r5s6/SKl+xtTTbWAGtoexiUZ05gSCbataQrjdnyGaDDh0+985ztbf0WMMScCK/cxQdEu%20qs9nW/3UH0EqElkXnfNFJdj+vn3WvLdF70Xf0wfITNMEF23vNN53BKUDnPUqccYcUiXPRZnPNoee%20/pG2BWaItAKoTGNJmq39cY6SyC4VBjj0U31gk5u8gov3C10XAQh4AKSSR84vetGLXtTMinJrVJzo%2052ATdO3nNKVt1mk22US/T1Ob5oIQ1c/JokLDaaLVrLGeelAaYzveh0UT5uR3cmU4oPfdmRowSSXz%20+CBE4A2FevMhiepi6suYN+0Er+CiajZNiMmOdsdf8uY3v7mFUwsCELlWKydsmv7VhGYd8ikx3wHs%2047V+CswS7HqeUe9lTk905j4Kh+un1Be3OIs+i7z/1IPSIkTap3t6U4rIO58lEGDfNwJJktbBp5Sc%20lMrQMz65MKLe/J9zXaJngiA2LXmioQiqWgZHf4VSy8dRb844aFCpcr7pNdKDHvMdoWRb79/0+A6p%20/QgIvV/MHPE5JvduF2bdQ6LjtL4eQekAZ7ECj6rQSrXwLbiqf2afhlY3sOABGpLNq+8Yaz1uQ7+F%20t8tNEp0nUmyaY3zdYwwjidakfcxfnpK+CsAgCDj2QUWMTQNkxhdAftvb3tbMiOZb0Ajaxfx5ZILr%20XQ11n9X118+5nDtrghDDvFvD9Ldh2l3vqHff2tKgNEa97Ye5Tml+W0xh91P19z2I6Q4A/ezP/mw7%20LqBWZtinvqYvvfmO9kNTkiQLoDDYOpfMZpi+wqM1TymMd5PznrYDBOh8iUtcYnKZy1ymaUdD1R62%20QXM0dCwEWt3+9rdvZkWgTToPqG+jHyf9HTEnJ6LOeug1VWtW2gKfo5wxQoozrZLDVYWJTa7VOhdD%2076m8dloAy6bnc+z4lwalTQ/k2P50CmSDkNw55JOIOHbyt0lj0jyGzg8jxDsFPf2/Vp7OxsFsRbkB%20pQ9+8IOt/E2qVm+r35Fy/a7HZ4T+m/ZxDQlzNCOaEnOin6rRbYsuJ/09CW+3n7I20d2aZJn4wAc+%200IQpBWhFiX7f931fO3mX0OKYeEE8ufZ5T+7rPB5BaV9nZka/kjSpbhiTgSx81zZrw40lm41uY5Pu%20BQrwyTziEY9oeTZDZXuMS8QdZ74fG37boGSMQ7lI69T0x9DRe9FEtQuBDi4a5/FajAIBiL42Hbr2%20mpB7mZeBkORtpZA+9KEPNVMpTdWxKk6Z5cuVUM18R3tKLttiPTreNUSBIyjNWBerRpFsYslVyZjk%20xlxQj5rW5330LVSzW/rIV6SYrIoUTHQ+D8NQ8sbZUIILaEmY777Y53cp/WKKwJ2fi6ZEMAlAbWK9%20naQ2ex/RkJ9SgI2j4BWIVbz2937v95ow5HgVJZ6sSwIVv6j9x2xnLoCUqirmBjDl2lcf7z7P6xGU%209nl2BvpmI6V0CS0jtcbcmk22K0l+Fin1KTXRnvrUpzaQ4azva7dlDAqIOuaCxuQcIAxBJYVtm8z2%20bXlgeAlTB1BMRbWo7b71d5/6EwtDFSqsSxVRFKhVeFZAi+r1akmqus93RzNCa6Zya5JWRaBSFf3G%20N75xOxssPr3+OJF9Gv+h9OUISocyU6Wf2VyifhIaXEFpH4dUpVLSJLOIytFMjzX0On1nFlFIVJKq%20ytM2e4Il9nF8m+xTZaLo4AcQ5eC9/tTYTfZlWtv93OxyrvLuXqONMAd0mOSY4wQrOIuM5sM3JFhB%20mSD5cbR4YOU+fjwWCUeWnP/85x9cs2iT+pOh06bz13Yx15t+59KgtEsTxjrfvY9axbxJz/gxJRpH%20pLR9NhVUJiVPSb9JoJiBzR9QzaZm0qMtMU+pIl0rT8+jz0n7PrRTXZ3vgvnIXPPFCcBIkdZNjbvX%20wKdFdMUsW82JmwTMygfQI8E0PRDoj7ObmIL5hoTVCxLin5Ogfe9737sBDk3c6bsEJmY8a5TZTmpC%20BKOexmhRC+N6pgY67BKcN7Ue1tHuULh92l0alNbRsWMby1Ggah3yIurJsfu6CeoixExtetInpspR%20XC9MJceh+22Mrn3xKS03a6s/xbdBy2S2RTdMNHlKq7c+3EJl/DVQYKj6tYAUgoTzkjD8HBm/DW2h%20Lyyr0sWnPvWpdrLtu971rha6rf80cNU4lK8SMELo8R2w0l/gc8lLXrKVkGKWq1cAKOCb73yeE4oJ%20CNsY76bmex/aPYLSPszCyD6EOWDszFuHoO3VQAf5SWFYhl4dw/5vg6ucQLolaQu9FfRwWjd75puZ%208+Y3v3lzqGO66CbYIUfK9wx0WYtCNX9pHxj6zPvMgf/HfOg3MAJCgNJ3ahti7jVaMmt0yO851M9l%20+k7rZmoDQgBJIAItiVnuNre5TTO70WTcxz/0lre8pfVZSgWzXW9K1udUzAgI94Dk/31FktO6Tkey%20sam37wSU+gU3i6kuszjXRZx9b4eU12sZ+0yvmDk4kVOlAXOt5o7QnFkFsxAIEdPdUOHWfZ+jdfSv%20aogc6y65MkKWA/A9IPXvHTJ1+SzmtWr6rffKxwFGyRfj3AeKGHpKRj3zmc9sWoeq7+YVw7/BDW7Q%20ItUCmEk4HiokO4ZGQELoNTMmnypAzEm6gMgx7/qgduHtbne7M9qQ74BVghi+53u+Z3L961+/RX1W%20EEl/k6sEjPL3UD97/5X+AfJdXPOE013xhnn96mm1E1DaxYSdxHdaZKpUZ1PtatEtStv0j7lRqK0f%20TJG2V00hFnFvOonEuq/myUVpsK77aCF+ckhf327PLCvd/J2zkfhPgD6TGyHnTW96U9MOHJtO+yFA%20PO1pT2sRkHwrwqUBAW3Iabbmj9+Fucs8CqPmK5RU6oqGMUt7iMZHq2Ha1U7yfoAIbYwPiOZDCPv8%205z/f7tNv2qN+M2XGP8Tc6zl9FE0HvAApoDLO/sBINBxaV71WF21/XXN4bGeYAkdQOvCVUUFpn4dS%20mZJAB//HTDCLRSQpDCHS/BGY/s6/Zu5pBX3dwGpSwswBA+ZNK8X4/R0aCnGm8WDWotD4VmgbtJ6U%20eVKA9mUve1krRMv0RTtjBsP4aRxMqwntJ2goeQUwAYj3mWfaMF+YPgAXWp4AFwCTaudVSwFEnqWB%20xW8qKk7b3mXcxmAs+gLYnHcVjUj0HO3utre9bQPJWpHDPtF+NMV+PU0T7mrSbZ7pn11kLe/zPt2H%20vu0FKO1Swt/WuzexWCMtVk1pXxl2rSeGCeonxjEESpgoadmP+clBf6TyOJVzuN4+bKJt9CFSuvGb%20bwyfmSih8vrQa0e+x/Tz7HOf+9ymYQCXlKYCRrQjx74LKjnf+c7XItFoSLkEBnjGe2kZwAMw0ED4%20NbUpMtC7ABDwYVIDOrQuoAGMgBjtS4CLuQ9AMgkCHwADPNxvfgEX4NV/z2vPZ34CbPoQ35W+0dgu%20felLt/ENHc8ercjYqqATX1EiB3MsTPhDovui+UVA0l5vBq17fdX9eBpdG3sBStvY1CfxHTZQLQ66%2072OsG4zEnfptQ+WR4owGTCRdTDImp6Mj+e/OUwJMmHWlHwbpc3UDBYhg+DRTPiBgwR8DSHKpliEo%20AXN3L4aO9sxn/FbAxTwloEEbacczACTM3/wAHQEDNCjt0WBoOsyxACpMXr/DsONXpGVpM8CA4WvP%205T1ACwD5jL8KsAE4AAmcFScW7u09j3rUoxqQ3upWt2oAp039qwEL2q3gQpsLMIY+ngvo1HWXtZgU%20howFraqfd1tC777v/TH9O4LSGGrt2b02VKLYhkJ096m7FZD0m/aTSKihjYtRMsUwP/EXMPFgQKno%20cNo3O9phxjWKMTShsfABYaL8Kje72c2aNnPlK1+5AczFLnaxM0sDA/UjL4y/CEDwM/3cz/1cAwjM%20njYLVNxHcxEcoA3vj8bme/PjGT/mKZGBzIGf/vSn2+f6lHp9/E6p6sEkaE0ABe36DUzN/SLXW9/6%201snDH/7wyd3vfveWdP2Rj3yk1VakPV396ldv60jQhhqKxgB0gaX+KBUUMAeoEmtdzJKPfexjW1/u%20cpe7tGrgTiO+3OUu16o95KqBEBe84AWbaTGa66qa0iJjP2n3HEFpSzPaM9F1mPNshpgdtjSMpV6j%20j5GSI61iPCRdjMeR6CTqnOTqHpI5yRkzJbkzCwWU9h2AlyLSAg/VuQYW6GcNxBcTBkizxIxpmZgk%20JnyTm9zkjO9JXg4AwmDRnukttE+ZHIChDf4qjJovB8DRHLwPePkJ8OTdAAdTjq8n5rhUg9e+e5ZN%20+O39OtFe5CMJuLjOda7TKClQAwgBHKBk7ajOAIz0Gw2YJa1LnwNeaww9Xvva17b+Mxdal4DTqcP8%20b8ANvYBSzKI1UOLa1772mc/XscdnCV/raH+BZTf6lkX6NWtcR1AaTfL9eSCmh33XGixSzC0MhTkl%20pjvMghZksydJFqNgplHShcTP6Y4xxp8SZrDv497kSkllauBeTVIYJACgHQEQEXIun7/zne+cvPzl%20L2+BDOgd8xtzGAAyFzV4AIB4DshgzPw+AIUg4ce7/axSqbwCaoSsWXTr5zx7AAg96EEPmjz60Y9u%20ARq07ACPUHBjs66e9axnTQDHxS9+8Wbe5JuSx2R9Mv8x4dECaUlAWFveQRMEWvobmkYb6s3JERRq%20wMkm18JJa/sISgc8ozYLhnAIPpZIT35jaMKLSfoYXxzZpiLaAA2JSQZ4/eIv/mK7lyQcpnSaASlL%20FujU2of5HI1znIngAsfKM2cBf8BCaxKpJtpOUIMfQQ78dsymGPAYTSZzW+fEZ71Wo39Vy62mrWU0%20/gCaZxMO7hBEmg/t8P73v3+rziDA4/GPf3wDGzlVCq+qAi5PyeGNr3jFK1q9O0IQYQiNmBOd+4W+%20NCsBFPYaYHKopr77MQeErIxLwIhnnFB8vJajwBGUZtBtHyNfsvGZFUi7PaNeRHVebqms9lSAU/9s%20eAzDde655zYTXRIOw6j4EkSGMaGo7MAngWGe1krhpPyU0okEDjiSvxVAD3MU0CC4AQNWBRvQoCez%20FBMVhvvQhz60/WbmA2KAf+iqAkXeU++ray5arO/rnGfdrnN99sKYIA0/9kYOkdQPWiM/ELBBM8dM%20AJqMF8gsYhJ2X64AbgIesm4VeCUIAKUA1yEIjf28j52nsUJiv2bq+4+gtBqvXfrpXqpctKEsfoyE%201FZDd4cYxqLtbvq+Ot76N98FSTMH/UViVhiTL4lEn3plifIauwE2PbZNtB+Gljn1f362aDDRMHOa%20b/ogXJqJ7iUveUm7n+8Djd3PTMdEynTFBMVHwoFPg8I4MdJI+DVnKG0PVTYwFxh0zGhDDHjWfK0y%20lwGSaGV++6zmJPkMQPEZufL/WgKpAksda+7vzcVVw+urgtPQkgy+ytjWtab2oQ9jx3IEpbEU2/H9%20WWSk3RSQ3HGXRr++lrTB/Ei2fXkXDJRULwHSRk/UXS1XM/rFB/aAsSYfC6gwYwIQJimBB3w9/CJM%20RvwkfCCPe9zjmnMf8DDLYZB8JqR8vrkw2vvd737NoQ+UBAI4cl70GuFAGHXPbPNcJWGYdQ21zvdj%20Je1lpmZI2q4mw74vVePrzYX1uV6A6jXFvq/VF+beoZOUlxnfaX3mCEp7MPND0sy8Tc0py/QSTWne%20/bse5jR1HUPDaLORAz5MK7Ql/5dXQ+pn/49UfIgmkXlzkHUQ4E0Cp+dEknHeE0T4LIDMk570pAYk%20Z599dstL8jy6qfnGYe9eZk80E6iQOnGqNqA3/wtHvusa17hGe/Ze97pX06JC6xwHUfseTUH7QFN/%20BQwIJiBAuPQlEZfbmqt5WkH/fV2TfR/H7KfaLtNdKmzMm+9lvh/Tr2XaX/aZWea4sX0+gtKys7CD%2057L4cz5MX4l5B11a+ZUczMaDqUUax8xoBiT8V7/61Y3pXfaylz3zrnnMZ+VO7biBSPGAmJNelBz/%20EGZ3z3ves5mn3ANQgBOfEfpd7WpXa8544IVeEmN/4id+YvLGN75x8prXvKbRmdlKHg8zXc5litmL%20Bnb5y19+8sQnPrEFDlS/zJDWAZAwYVoXLU6whD6pMUcrSwWOHZNzo69Hu4CzFwngqWbOaurbaEdO%20UONHUDrAyUxuyDTH9CENSUix4AW+kFypXC2QA7PDbFPgM1L4IY1xbF8DurQc+US0Fb4gYcoqJfCx%20OdrjkY98ZAMjCaECXpjqABdtJz4UtHWk9y1vecsGSv6f9ms4dhirY+fd/7znPa9pXEMCQM4O4tM8%2066yzWpUI0W0qPTAJvvjFL57c6EY3akfY1zJIY+lwCPfHhBmtUGSja1qR10MY0677ePCgNE81XEWq%20XuXZVSd2yNQQqSsmrr7I5Krv3MXzTFTAhx/EFaezv0VI8Z0kJwcz7n0Bu+jzut5Zgxn83R8jQZNR%20PcFvErhEWAIJsx2THXoIYyaZAyf+JYLKVa5yldZFIBSpHTjEuZ/3JkjBPTEZorcEVJUMaFs1JycC%20QUxdwsxpSvpDa3dJSGVKFHoNsOQN1Ry1Xe6pZedtltkvNOk1ouQqzeNPY/tUTbx5NntilXet8uzY%20Mcy7/+BBad4AT+r3J4U5Y5b15NzMF0ASOi63hH8E8wsonRSTiDmsvgzRhi55XEnSZH5jxuM/VIHh%20AQ94QAuRv8Md7tACGYTM06aUxhEUwiynooOrP0J+yO6fCLZ6bDlQk2j7lKc8pYXuC6DwHvcAKT+0%20ImZBZr4AkvaNhxnQPfrObAg4A5JDQRGHvkcTjGL8dQ77+T30cW6r/0dQ2hal1/ieLPZ9km6WHR4m%20lppnaSPj8jkzlMRF/grSPAbtmUM1C1WpWwSlsfK/OIfo+c9/fsslAiw5Dl6EHdOmgIZXvepVLZ+I%20Xwng8B0JmQfaou+Y2wQ0VA1szLxEA0fb+9znPk3TEYnnEsSQoBTaGHMVU6BKCq4ICjmIEWAqiMon%20GF9XDdwY0699vzdjti5VjGBGpT0aLzqd1HFval6OoLQpym6w3Ui31Q+zwddtpOkwMY55DBZjja/C%20dz73W4kY0rjkz5zZEzv+Rjq2oUb1WcRbavwBXOY0h9DRQvhlAAqtg1YYbUeAA0AigTvSm2+Nr4nJ%20033MbYCDec8FWCqTHDOc6h8R1Sm8XP1BfwMi8wEEle8xHz/4gz84eOR55lbAg6hBY7jWta51xjx5%20EoSpaXQVKSoyVnBKzjo7RJPlmHWz7nuPoLRuim6hPb4kJh5RV2HkW3jtWl+BeQJXErh8JOHfNrL8%20pJi0MGmmkVe+8pVtvBhyckIOjbFFezF3NBFAZKxMY4IWnGOk7I2ABRqIqt38MTSNK17xis1sRwJX%20qZr/CP34fn78x3/8TO25mM+GklznTV7oGS3cumIy9FMvmpyfevVmwTBh2p4cKHlUTHrR4g5BqBgD%20JKm0gSapOEKj3/RV+1i140VN+5vaQ6u2ewSlTa+cNbUfp3SYhkPMZO5jbkwlh3rRkkiUNnGiwZIb%20Q6sARnxJtAPMMAcEjmEau6JNmG/6qu+CNviEAIyzigQy0EYAs+oLxq5Wncg6mqFzgQADAcQzNCZR%20ePw0wuldPUNadbzpd+ajttf7SaYxoCRIAyWaElDloxo6JXfV/u7T86HPIazPfaJb7cvBg9Jpm/yY%20Rs5//vO3I6ppGEApdFhVStnWQo02RBMS7sw/IrkzxzHoB6CiSXzmM59pxUMd7MZk5PNNJiguS4N+%20LcZHk/Z8nznji4k/iZkLMCsk+uAHP7j9pgHJGQJYqi0w14m8u8ENbtAi3HJpI6efLqMhDY11KJqr%20l8qn0ag+q1+ECpF8cpmYH+94xzu2w//0NWHUaXtd/V9k/tbJN2pbfRLuOt8zb1xDc7TovPVtD/V7%20W7zl4EFp3kSdtO8DSiLTbIDU2Tq0cWYcQIl/wqFyIrpc0Qo59R3a5vwa/pccrVAjxfZx3BlbkoCB%20iSAG80Xr45N53eteN7n1rW/dAhdoT/w3NCRgS0ti2hNaTZvSDs1YDgwBJO2HSSxSTHQZOq3CUKNt%206Tuf1LOf/ezJYx7zmMmd7nSndtjgzW9+8+YPq5pewHWV9y4zznU+cwxqWJ2aR1BanYY7aYFGwX5d%20j17eSUeWfGkYD20iR1UHbKo5ih/CT6448g9h8zPT8ZOZJ8d0Gxe/keRW/Ve1Wjg34AVUt73tbSc0%204Jj3gDET3o1vfONW9icMPHXatlW+Z8kpbsIFoAFMxiFg40Mf+lDzMQl8ALIqeAfA4hPL/5d97y6e%20i6BAqNimxreLsW76nUdQ2jSF19D+kNrMP8Hkc6igFLLYwCLt+I9S/y6gVDWAGlW2qCN3DaQf1QRw%201U9aXcxqcnkADc1AdQqBDLQd0Yb3ve99WyADbUlFBMeYf+ITn2gh4MLFhVQDpEQdxhxYE4xHdXBL%20N/dBEynuat5EUvrhD33GM57RzLJMezmaXBcDugHhfQffStaaAL0suddpJlu2rWWfW3bM56HhOho5%20trEdCvTMOHb57bx9vW+JpuS3XCTJsvwmuXzO7MXBz2+GaSmxk1Np19ub5VqzcQMUmZskAtOAmOPk%20WNGU1Jvj9Hcpw8OUZcxyiwQyCLWWcMq/hFEDrZoD5LlD8xvqcz0VN4Bj3QrUUCfPabGSbG9605s2%20X5noxIBQGGMA3uerAPKmzIK13WiHm2bqmxrLcjthvU8dNaX10nOrrVUz11ZfvIaX1eMrSJf1sLow%20MzkfTD40EJF3mDYG7/9DVSDW0K2Fm6gO/YSp++yBD3xgAw9VEYAqR78D5lzAVSCDYAfgw1wnvFv4%20t/sBmEsVi1zRGmLaWriDe3qjcSTAga+JKU90nlp76uYxUwqB53urJtpDAuQKSNsAj2XMncs8UwXG%203q+5zuV2BKV1UnPLbWHm++70HyJJD6bMkEx3ou+iEfBFCIBQSBTTpikxWbLZD4Uqb5n0Z16HcTI9%20OrodUAJN2fxMdE9/+tMbY9Vfh+4BJH/7Xii4U0r5jUTaAaT41zCMlOMJ89gGc9sGDWukYHLsADQw%20Yup0rMab3/zmFuihSrxIPSZP81+voXOTttH/aes58xNNblNrNGCgHwG/JEvXNdIDY0+vHOOeoKLs%20uzq+HrjSvvflnfWgxQpaq8zFEZRWod4Ons2ixAj5HnJ+zQ66svQrq5bhbz4VizvHV9A8mPIweEml%20ovLcsy+lhcyB/DCZ+4DTHMgnUnuOZiePSPi6MfERPeQhD2nM1plFHPyKz55zzjktoCHFVhEz5qlK%20nyFmsTTh9+DBPpQ/6xkIqSzu5+Mf/3ijm1QAR3egL9oy3zq8EM0qM+3Nfeum2RhTXIrbYvq5ZmlO%2089rugSYCXR1/yhkliXdIqw4oRairplH9rP7bmpA/JAxVEEwSfL2vT4UYWnazhKwjKO3BRh3ThUwm%20pm0h1SMdxrSzD/eGIdH2RKIBoVwYkarX/CupYBF7/S77rg/Mck996lNbTpWcKSWClPr5wz/8wwYs%20zHU2LtMU8CFAcOqrY/eBD3xgcu655zagVRrI8Q6AN1W6T4pGtMgcVZNclcrRw4+L4EUAUMkCLV//%20+tdP7n3ve7cw832Jcqtztu6gjApa/q7gUf9fk5L7Z9CxVmqvRXEDQH7jKcL0fS9q1EUQZMFwTImx%20WcM5h8sz2jVHktuZqtVxXHVejqC0yO7Zw3ssEotPJYBDv4CSKELOfVc2lc0hGEDyqHwdDnH5WfOk%20y3XSo7ed+z+QlGvD/GbT6qcouRwl8v73v3/yhCc8oX1/3etet5mmHPMg+AHIEiQe9rCHtei6jHcR%206XKd49q3thI0ol9h8n7ToPxgdoIjJOIqFivvCROMoOL3qsxwGZr0GlsiL2sE4TLt5ploRvFbCqlX%201eNSl7pUW2/WlXQCZZze9KY3td80SikIhCf7helYhKM8v5/8yZ+cXPjCF275jQDoAhe4QNNIafMi%20PkVGKsSrtBdBsQpU+qImo6jR97znPU2I1JYCweowAjKClu8jYC6zV4+gtOSKWYbY0141JB3Pa9/C%20tLAO0adUN5y/bQ4MhjmrRrMxjdnkFjtpLf6IJads9GN9ZF0YhM9F09F2VFxQZQGDAKw0IomwfEo2%20us3Jke9oCeClSoPKBsZW6RCmOrqTJ+iBIS2j+lBoz5grcHroQx/aTsitQsyQhlDJswkttN+nQCB+%20xHVNTQDJuuOn5HMDQAAAgBDYaI6AImZOJlAgQyBiAtWGWorMyPaaZHVrVH/ligkiEqTjyBKpCbQm%20/AXNBJ0QBOxBOXW0WEE7UhWYWWlOL3zhC5tZ2gGRQJEwVuemp/0sk+YRlNa1crbcjsAAP5vK5t/0%20cBKB5T1MADQO47HxEsDhHhsH88HELeRtFaCtphEaHCFABe9qQqQt5SLB2tSYAdBRgUGYt2KrzkHi%20qBf+nUi8WhE9PqRN0/xQ2w8DSzoAYBK5KOSeQGC9rEszWYZGVculjci728RlndBerB0aN7Cg5fC3%200r5pMWH+hCSg4YcApVyXnDj7SR+BkX5qh/+LZi9JXdCJy1EqhC6WGODGFM1MR2OlTRHACIsAzD7Q%20Lz+iZD0bUAowjREIjqC0idWzhTZtRD6NfawBN2/4YTJZqACJ9Fa1PhuFL8FFAhMEwcktam0bpi5m%20C5FxNj4myGbOpyGAoVaFFrauZJCTVkmMAh1sZCWCBEIwoVzhCldofpAcXx+Nr2oBVaqcR7/T/L25%20Z3Ii9aM15nvNa17zPKa7fn1tml4RpLwnpaWGgi9W7Yf3EIzudre7tf3gt0rx3pmUCuvRlSopfJ60%20JSkHgBzQqCpiXWoPODGRywcEXrQtYMU9kKr9gM0ZXznfzDqW1sC/JGqUJQBQqdkIwKqWNAaMQp8j%20KK26Unb0vAUFkA7RfGeh1lNRLXaSns2RUFXjYvqyyYyVFGgTzDNrrjod2URMiUwWTngFMrQlGzeg%205D3yapjo9EnyJ4nVpqQtATH3KqVz6Utf+ky0WB++u+nxrEqPfXq+rhk+FYID35yUAWal6t+J9rkO%20+s4yPaFP3YMEGVcVFpdhzKF7xpRQc2uQudtesP6sUdXXaS6SkSVm88Faf4rfupiOlbbikxVYQ9hL%20YANBj9Dkc3vMc2iacVnTBEGAlcuzaE/7QnfWAAc5AkCmQEDpWnbcR1Dap103oi9UaUz8EEGpH2bM%20chi/zZXoHpvBT722ZaYhMaKx3Bm5UnKJcuw3KZWU7qhvjIAUSapk6+fwtWkBEfs6J73LZ335nGU3%207YhlcuJuTZSe3wJFaNiYr3WiAkb8L/H/bZsATNC0kBqssY4+JPT6Ihe5SGvOupPDxYckyIZQ5zO/%20+XloK3xOn/3sZ5vmwzcr3J7m7xk+pETPSWdw2CRAuutd79qSt1XjR0OCoXwxmhhe4zM0ticAE3Pg%20c57znKYlMQvKKXOtoq0eQWkdK2YHbWTxV1DKRjw0ZkcKZIbB2OvhaDHTJTKr5mGsSvJqOqt/Yyje%20w0REEqTtAKOAC7v8Ix7xiKY5MYdc5jKXaZIoEwa/kzOR+JSyOWulijovhzZHq9J7nc/XdS766xa3%20uEU7hpwfT8mmdWhHY/oboPQM5l//35tox7Rb743JV55bqqHkAMYaxUmD9BNgiGBnHQKneuyJe7TF%20fC4Ax0+uergjsKmX8aX6iHYFoNC4ctX5WWYujqC05CpZJmJu2quWmTiqtgVFFadiZ4FVB/2SQ9vK%20Y9UvZFPkxNnQNVJZNvVQ5viyHQ3I2ehhIvoT0xpQwuwkwSbMm9mEdiTUVtitAqtMNEJy+Y9orSR2%20pouYbgBsJMtE1x3BaNlZO6/0XfcM0ylJXy6TwIfkfGUNLf/GxZ+MD4mWb60uevLsPD6ScdbIxPxt%20nNadNWqsfVsx/bm/F15zb6wUWZ9GnCCkFNL1GR9TTOqhSrQ3AjKtyf32k5/aTm17EYoeQWkRKu3h%20PU4d5YB0OB4no2sXeRqrkCaAE/s/0x1NJQC77kTESLDea4MxtbG/cwSTBvvzfAJI6rIJQfYM2zuz%20iYg6kUuEAtoR31OOCU+JmYyr1sZbhV7HZ/+eAtWMRwOgJfHlceInJHsbATFVO9AnR8Dz9wSUEmW5%20rDCSNVTfU9cBELS+EpFnXQIJa/Gyl71s+051evlJ+iScnnnOfZ4heGUf8odJcQAqwsiBvfBuJkBp%20DvxHhLD3ve99raCwPZMwcaY/wpj9K8qUSTt9Hzv2Iygd2E6Pasz5buFZJGzFtI1qNjikYek3c4HN%20RCJzLaM9zhpzJELAgmmpvmBjyrcQPSeCC02rVMcsB5CY5tjVlQnyvfBvdHc5tC4bMO/wW8CGTZqi%20olUyPaS52ee+VjMR5qnKhsAYfpN1CzTz1lYYO7Oto9+lAKzDr9Uz9LovKtMnHIkS5WPTB0IUWjDJ%20qbkoXFtahSAGUXuCE/hMmanzDoCkarsEZQIbX5E6jTRQflQ8Rmi4tc+SwFogJFyyuP8Duxe96EWT%20pz3tac2sjQaAb6wJ8whKI3bduhnliFef59b0g9NTZrsFyZxXJfRl297Wcz3T4Luh+WUMq2p9da5i%20zolZjcmDtEdLEsnk3QBReKxL2OyTn/zkJi0CS9KlZEJlj+Qe2aRs6PKSPFtBNOPqj2zYl7Wzrfnd%20xnuqtgSUME2ReEBpm1fWqrXLv+L8LFfMW2M1hUXvd1+EnwTSMOULeKAd8XFKS5B/JKlbP6UuCOIR%20EJHAm4AGEzpfqTZZBET2qUpCOBO5R4jTtu8iyBHyaFbAyb3eRWtdpdLMEZS2uXrX9K4sWqAkHJTk%20ApRc25QQ1zSc1owx0ZJy0N8qWl/vaI09Xea7zHPgY9MwZ5DmHJUQEAE4fEfMos4/Qk+bkYOYv4hU%20yNxHO4p5b6jywzpps6u2VpmDbfQ5PhPvIjwwRcmfIbWvcu7S2L7HR5kkXgARH8+iADP2nQG9PMeU%20BmiUHPI3gCF8AWomNUIVwLBWmelE16nqkL3nt3t9T4PiEmCm5icVqUfjYqImsNHERPgBPNUdROhJ%20qqWZaZPG5rPsi7EC5hGUllkNO34mDnlSGcaahLlM/iY3wqaGzi/Ap5SE2WXfUxlE2lAuRdFUYau0%20HZKcjQWMJAJiYL6nHTFZCJkVzm1zkhyZYy54wQu25hK95D0cwp5dZ6JkNKpq7qvgMDS3/TMZ96Jm%20k+rbi/RcGf609bRo+8vO5aLPxW8jbF9hXAVv5c1sA1S9w/vTByYw+UMEmP64jUXHs+h9NcWAb4mQ%20RFAVFfqqV72q1a8TJg9sfCZiTqBO8pdYC1gDXEx71r3x0LBcovqY4lgK5O0RzgAUbVSb3uGATuuA%20L0/7wtAJyiw4NKgaQLTouE4VKJ0UE0qYoEm3SLKIYqY6hNJDPSO1GYBSjq/IAl7UFxPtyG/04XgV%200g2AMAkRckJl5W8wr8iviDnP0dwAiTTJLMcU5L2kSWWBUjamhqhXCXMd6yoMtGq6td0AQE2+zfcJ%20Ec7/tVEZVtqOOSlSdqXtUHBGAD40Tfs1EjLfLcpw1n1fpRdBw3wJ2ydwxM+67nfW9nqaWEN8kDSL%20+JU2JSRWDcScMCUDHYEJrA5yidBE9QvgAjDvf//7N8GKec93rCwATYAGTVOyd+oyao9/CdizYEiF%20YCUAfj4DUnxYAiJYHmhnfFlM3FW4Gbs/ThUobXJxbrPtLHK/mSoch0Bj2rcD8MbQxOLG/FfRlCx+%20ZhOa49lnn91ok7Bg/irOWxKdv11AS4FLkrV8juSAxJTIRCH8u2dClf5jxjjv3rTLvGKDm89oLAGC%20SOXGmtN3ew2ZTyDfWxcYSmz8oqUwlZge9SlHGQTc0k9mH9+lHz2Y9eA3b3yb+r4yfUyTCVZljeTS%20bOq9td30oTfbbQqQvDv0j8AiOg5AmHMWgKxzIAMscrlf4A5Tdn/xHWWegWq0Ks/QiqwRP6J//fic%20FuayNpUzcgWIIuyMmYMjKI2h1p7cG0ZlUZLqlRbhLxGNdwha0hAZs3nXccy5jaAdjJeNXfIrjSnB%20FDYMR+0jH/nIJiXe4x73aIm77vecU2SZ7mzwWtpmU9OfsYvqkwQKmIESrY5E6nvOZuZH5hj2+hzs%20xrzIR6bffAjWRKUh7VObCm2qJP385z+/Sbt8AHFSA2eMhrSswCcwIkUreMpxziTj3UKd3UO6Zu7U%20jr5sw0w2i/bRko095/3QWHZxJfy/AsCmgKn6MtHAWq3nq1VtRX/qPPUCSAWPgJ370/eYJ6M91/8n%20JL0KLZmT2sai83EEpUUptcB9dfHNU1nnLdRZz1dbPkZLy8B8kyezQFf37hb0mGZ2mtfZ0DIaA6e3%20Wl/McsAauMS+7//Oe8FYBSv4nFTNns688fa3v71pR3ItYsboTY3z+rPo98mLAjC0MqG7fAKkVYEW%20QJPfCjgBKoDhcj/QpA36TEkjTuzHP/7xDbRER8WsRWLmexTKS4oFvMBPKDs/mXQCYcCSTpk80Qw9%20VaXwDoAleEBeivs5sQWC8CswiwK33vS36Pg3cZ9oSuONGTiMeZMBQEP7Pvl26x7jEN+oZtwefIYE%20hvCPymN6bbv6Sf1do0krLavVoJqDV7EmHEFp3atmC+3VhYnpkIDZiCNVzwPELXRx9CuMA2MlgUcK%20G9NIpQlGBJgcPlYlPY5f9nXaBQaNoTJ1iVzk9GX24FsSdbTpK4wh/VNHT9SUMHMXcAJUAAEoxXdD%2088EgACkQ4Sdj7vOj6gRTJBMljSHSMPDleM/pra94xSsaWNOoaD7ak2jJQU3SpnkBQZI33wQAYgri%20w2QCTZ4X4ETDTYH2mDkI80VDplj7Ad3CbHvNYEzb8+6tjB/NrCMVDgIQ855f1/d1D0RDqQJs3jNN%20IO6fd/9Q8FRtO22uE/SPoLSuFbHDdth2+ZUO+aKV0FqYXVJ2f5nxxGxQNyPmrpq3EFbSPkBitvMj%20Mk8iIVOUGmrxtWwa2GOCzRhVhXjXu97VnPR8YZzFNBoJuy7Jj7RhkYCAQ0SUZ5gaaTUEE+NwX8x3%200RKADO1LODu/AGYN3ACKkF50oF0AL9FY3o1GMYUx36GL9wFwVaX1kXa5aTotugb0IwVGzbEoStoS%208+MQY1603bH3MYnWAIRtvrvv6zrmZlob62h7Gm1PFSjNUn2HCDTPxDZrwa7ybC9h9Qugb1sEHoZG%20y6gnmo7dULu8n4RJEheyTTqvjvh5/UqtrtAlpgZOfWYrWebaFo2EAWOsvqOdoB3AwmBdtTTNphlK%20lS6F3xo3/4/+ygeRFS83xKV/KhboN1oZA40AwAAi/ZYYKaAhR3JHgjcOQRx+XKIPmf5CJxGH7kEL%20Zrrk2VS6R3t0361vfeszX0UDWXW9z5vjed/XueJnRT/aElAKHWaZ15ftf9US/U0A4PgnJGQ99X6m%20eWNZ9Pu+z5sEikX7tA4+eqpAaRXC7vOzTCts2Ew4hwpKJEyAwVlfK2svQvcqmYbR0xqcWEtLwqQw%20VdF9zFWc9j7nR2HydPV173rBYJF+jL2nZypMbABCCSTmzEj5AQlh7H7qBZDCkDP3GUv1C+SegG6S%20S+vn2vVMfxxKwtB7kN40aI+hZ2X8AAGIf/SjH20J0EPmpjFtz7q396Pw7wb8afybAqR19X8f2zmC%200j7Oysg+5fyhVEMY+fhGb48vZJYZwMbGJJmQamXiRTvm+TBg4eCKR77hDW9opipJlCLZgBI/iUhF%20zF5QQM5Hqnk+y/izFu1nva8y9Pp3jpXOvRU0xkjCvY0/OWzajamrviN/T9N8+ryngPaYPi1DpzHP%20xOxr7HJx1G0D8NEka1/X6QMJLaxD/kpVDZg6U+T3CExjZvELhyaOu/3k3b2s2r5LSlSTgX7QlHyW%20Uy+r43Vb/QyjGwqJrUUZexNKpFj38HOI+JpX9r8mseZ93v/617++mb8EAUh85TOhGYnIUu9LpBrf%20SnIp0Kaa6wKOm6JZn1AYxhj6BMBrqK8+hdn2GswsQOi/G8uEZzHwfQKiOldVY+YjFNTikEY+twBH%20Bd11jaPuRwV+733vezdTqgKlee+m1lRtdx4vW9d4541lXj/mPX/qQWkegQ7he1FrQsMVRdzVZSEO%20nemyaH/4kOTGcOYD19jkh54P84lPRNiy6sf8avwiwqIBNbOdwAnakbaVPqmlXyogLdrPZe8bAjwg%20jGY1uGLovviIln33aXkuKQXmlW+NAMJ3BhzqiaiY8zoZdIQJdLYmk++2TUA6SXN8BKUTMJsSGEVK%20Od9HTs62riEHMmc9yT7RbfoiPBY48BVx0jOnJdlThJRNDYSAyJve9KZmAsk1TeryuXbl1Sh/IgAA%2080miLKAWNKEEk9wa5rtoYTmumrkw1ywmtarmmTEwr5oj4Cl6TcIuOumrOWRudC9N0Xjcz0eh7pig%20hpwAuk6Guq21ss33RNhQMoeQc5e73KUlAvO5VfPwqvM6NCbtA8SUsNrmuE/Ku46gtMaZrMxim5Ex%203sUxPq1Ez6yoo1WGH0eujchswWTht/fZmBipKCj5LKRYGxUwoRNA8H/MVwACjQEDkcA6y3wHiKJZ%20AC+Hl2HWyqYIb5bfo4T+e9/73pbDgy7al2tzzjnntMoGgMFJpULAr3zlKzcS6FOi+KrG53P9SSme%20Ied+noukniCCgLD2gTL66JckZ1FazrIR2MHsqDYfM6NngGcuod/AK9oSAENf98V0OcRcZ5lQZvn3%20Dl26r0EN6EMgAU4iLyVUozlBwNUHhNS9MGsvz9ozMWP3ARCr7LPT9uwRlDY049uQZiuDxKjDQGkh%20MVFU5rSqrbcnVQIMmA1V1aatqZUFBJjgaCouYcuioXxO+nc/sBJJJrTZ5+6VwMrUJgGU5mQcwtzl%20zSgyCVg8zzQnOdYYaUfADxAowonheIZPSUgwhq7QJA2KOQdY8jP5LfxZ20J4+2rf9fgB31UGpg9O%20OfUu5sKUIorPKH4Ln0s2pQ0aK18WTbY/70cFBgEZ7gvooqXnSfcAHHirRGHczrkBnPPqis0Cn5ic%20zGENglj3GtnQ9prabAUDwE0ocVAjgeCss85qWrogCPMQcKo+vAgoY/rd08x7a2DImLY2ee8mBeV1%20rpsjKG1oFfSS1qKmgnrfos8YAqZPCmfq4V8KYGxoeK3ZON4lfEroVIm45hcpfzN0DZVDIsH6ERbN%20D4DxugATrYI25IwX78GgmeW8i1/mne98ZwM2QMEEiBGp3sBkJ9GTBuKqfqob3/jGTfugpQAtF20r%20jCqBAdFcvMtnaCwxM2HSfgMVCaY0qiRP+vwd73jHmXOivJsm58Kweq3M99P8aNYSEBXCruIDIOXE%20z6GEVTjJuqtBFT3D6P+fsdYoxE2um221HTqbf3RzUirBRzCMNaOAKTNqHX/1Dy3bz23svWX7dgjP%20HUFpw7NUo54CMmEiNk1fQLUymGqimdbN3E+CxhCVjwkokbyZhUja8l8wsTCkVeqVheHFPq/cDYZe%20HfbZ3NWcEdOKsVQJPX9rj0YhXFvfmQeZq0i3sy5al7wjpfRpVMKAaUii7VQ8AFyAUJ032f5hvgAQ%20aNHqEiSiDcCO9tqkCQFCz/PvMA0qyXPta1+7aTW0MeY2UV5q5ukr7cgRAUCSyZCTHb1rkq+xZi5q%20wEWVsBPQEaBhmsRQYyY1r31eUW1zqDhvfH76LnkYuHtGoi4G7RoyUW54m6y9eWOiaaJntFxrS9UK%20kXm0J5rTRS960RYkkwP6Quu6Vsd0LhrsvAjSMW2etnsPEpSWtfdue3ItbE51jI50TxIOYKQv8RfI%20r8HcaDwYhyvn+MzqdxgIZogJKZvjYgbjb8G4bBQHcqkaIJkwDv5Kx5poOe99lWnZ9EKwhV/nqnZ9%20nw0xx7QRJhomXUG270f6288/LQLD9uPC/JnY0NZvtFVDTnUEGpjovDBfz/oRZODip1IjzrxhYjQv%205kEaGxqppxdaeQ6oAbScIaMKtwrk5g7jM59DyaeV3lVzqSHu+hOp25iBNJCUFIzuANe7AKZ1lRyn%20gDkfHYAGrmjAhGkc7qWVMoNaNwQXYcyCRox5naaYbe+5/n1DOULGqAjtNa95zaYtKTBLk7JPcuzH%20mBD6CmTaSDtZY7umwbT313ke627Y5Bo5SFDa10lOv+oiBTAKXfINiLDiA3HOi+KZGJdaY5ztNAOm%20I5sBM/Pd3e52tyadz5JcszgADW1FfTPagggvDJgfAwOTp+P8FMzZUQ2CALJpFl2QeVfMdtpVyRrz%20pz2selXQWdQm30u2+qh/GG7OkyEMACwRWAquMtfxZQ1tLBqDH9oO817V0qJhpW8BCpoUP1FOAFZh%20HFiZS0wudK7gPIvm/Xf+368BCZoqnZtHvjbJwjQDmiCNlTnRnAMmgMvHpo+Aib/KWrzZzW7W+kZb%20ou32YL/oulh13jf9/NA4zKF9aD0wvwIn5abM9zxf3bz+2os1snPe/cfvz0uBIyiNWBGLbtLK7Kjx%20mJvzfBROxUw++MEPtkVLigYkvucH4QMh2ZLAvYuJpfcx9d2tDEvxToVZldgBdvFheEYQAJ8MUHrC%20E57QzHyiz6o9PZJ5fUfPDDM22p92aEl+0ygWpc8iJJ8lifXf1fcO/e0zgIA+wFokFuAwHxiy6EB0%20x6hdNB9RcbQlQgFQA1TuD40CTDlEkHZGU+G3yJWk2D7pdZHxD91jruo5NvxbovOYpPSHVmic3ue3%20wAjXkNRfAVbUJu2RCbhfA9W02Gu3y45jH54zFrQ0p/aKBFtCIL9orR1Y99+0fvdmaXlzfuznMRrX%20Lukya08N9avf6+vUnI6gtMGVYNGTvJhGEiGG8QEmIIWJxeREo6IpkWpTFoVzP5FR88DJfZ7jc7AR%20aAl9pQAMFjN2VDMTEOlQ1Wm+Js/Hx1UXWN4bvw8HsVwih84p1yOgIDXa1knKMYt82r3puw0ENNAX%2001HY9BnPeMaZato5NkPYNpqbGyCLsdNo3/3udzfzJ8atGGk1qwaUhkwh5mFdTKmOBZ1pPsxwfFkx%20ywVUfR/QGRIwsi6iyRmrOaSte4/xYcw5TLDXoNY5z7tqK/Pm/aIxHfstdNxci85bBIymCQ6ESeb6%2047UcBY6gtATdptli6+fZ+DSinDmDMeYY4bw20mfMdJhJotPCTPtgidrlCib+zrHXNZAhdvUwKkyM%20FA2gRHSpdGBjVonPO6KFxezkALy73vWuTToXAp4s+djh9zFhMOY89PBjPji49Z+WhPEKpph2mS9+%20OMxKCDlN1NHSGXvP9JdYTqMfibZkHphPmepowdHeEiAxFMxiTqs/i4+JBimMXlQh3xjfJu2QDw5I%20E6z63K15nV6Wqc9rd93fZ/8x5aGhgwuBkmuMYJR+RSDM8SHLtLHuMR5ae0dQWnDGLN4adVZBJUwA%206MRUYzEmibIy+7RR82BSSJUk7xlMPgw+z2aTM7XE3Jd3DAUSTAsu0LY+8i/wXd3qVrdq5ixRYoAp%2044xmlHGqrK3AJUaV4xQCXOvSBhacitG3hRHXSCyMto/qi1ZamXa0R+Y7wQGc4ujF9MknEzoz01bN%20aFOmrqwH88iPR8OhzTHH1gKzuU//k8RbAQkRY5qz7qwH8wqQrDHakjXqGA2V1GlRwFugRRhtotqy%20Duo7YzIdPVlbfKCucX8TPghqglWqGXZMl7In931PjBnTtu89SFDahfRRpVBM4G1ve1tzGCtTH00E%20syd9syeTvPqK0wmhTv/5Y/yNmWhfwADVn3QqjBnjiX/J96KjVCNgRiLVObQOo2CqU0kBg/rlX/7l%20po0xRQmVFvLqO+YEZqmAJqbhWcEPIsowWJtRAEA0pNyL4UmK5f+SaFq1KGMP+G578Y59X2UUQ/6v%20XlMMg8l7mPn4z0S8KV3jAlDuSwJt7t3EGq39y9wAiYTPC2X3eT3eIpUoAkIqWfCXATTSvDUa4LWe%20/WjTBWidYgu85XMJIce0BeYkHH1onN6Zyh3a2QQtxs59f3/mPzT1f4KHI+nlyTlgkXk7fsReyJjm%20P0VLe3jVYIlVx7fq80NzNstnvE4T70GC0qoEX+b5OJlNFuCxSTlHbXLRT5e73OVaODGNQ6SdjS+i%20iXQtGk7FAhUFMDYTiIklH4ZvwGKWhIrBYP6CIYAG6TXMA5MQ6UWzAorMaRIDmaA46gGh8F8AxFkv%20h4avSpSWwARBDgCvlsUBenwsNKZHPepRLVIwpgeOfqHlL3nJSxqgyecIsGYRrjO4YZl52dYzYUp+%20M3cB/IRmK11kXsZu5FX7ri8El0RS8ntx2jvED2hYg9YbDcAapAkTqGjI5hgwpZJFNKqMQdsAzlr2%20t7VLo/Is4YjZlz8UYNkPhCAavPY8Y11VTWrVsW7y+WodAMLGZS/wMfE92sMVXOet+X2t6LBJGq6z%207SMoLUFNlaZpFpIN5QIBCxFvFqtETCAhcRPo2KC+k93PDyFEOxufhiPyS0KmNjEYG1l7mIY6cJgf%204PGZYAkgQ3MRnIAhYCY0LVKezYDxMMVgEL4j+YqqqnXYqsStz+6Vt0HqF8TAXCNKDYPDbEQlYbzR%20kDapDSwxHVt7JNoy+pl/88e8xQ9hbvgOCQZ8goJOekYWYFtnhwGHufUjgMVcCgOPCZigZM1YFwCK%20IGWNvvnNb56ouBHTczVZxvQWoPJdTu61NvjXrEf5TQCQwCX83HuExYv05LOL9hjT8zrHve62otnk%20VF9gZN2jFwG0ap/z5jGWhnX38bS0dwSlBWe6RrIBBBUSAA5p00ZkTov5Ta6Ie4CRyKaABo2omkt8%20TsqkHTGbMctJfsXgRFcxAwR4MAX32zR+ax8DJBHXUN6AD8ld5ro+0nJiioqppmo6ATaMRC4PDYsZ%20UD02WkGNAowPZR9NMgtO5dK3VS3C3xg0IYNQQSsGBsAcwzYn1oQ5rZU0ln75lAerD0N+kjnzM+ty%20AB2GK/kWkKWNrIkAVE3kDSMWkJPTemnS7gHCLAU0dD4pa5VQhg4p4bTvwNRX2DAupZzsCaZaWjFg%20r4JGaFxBKjRb9zzvQ3t1z8/TFlfp7xGUFqRetT0nOQ4zx3jiO3IP4IlGYfMm4i0RdZHIbGjmuVql%202vOJBEvRzkSNkYhpUzkPyKIASvXyWYqxkopdnk/5nxwz3gNSmJD+8pcw15H+gZkrEX77zlgWnMq1%203BYaYsA05pToodnyFRJISNh8dsLImbt6UFvnxq5zM82MGOZJq2ayVfjW3Kv0kXmOlpT2ah+rBuB7%20Y89zOaokGiJzoXto9UzRCWHv1+taJmMNjUTYyhizb1gLVBcXsSndgnY8bx/Yg0OBRmvo5qlo4ghK%20C05zdeZblDm2IRs9xxukxEgFsUhXASjfJRKsSlbV11Pt3DVAwv2JEuuZXEwxPeikL/1G8Xkv2QFZ%20gRopDhqTlTEcI4q+eLGEiWUu+FJoyn6YQ/l5ADzfowobiV5L6aEhaXvBJTn1tiHzUeYua1CdPoEx%205lpZJf1NMdqcN4W5JkJvGphk/WfNZW3S9l1CzLUv3FxQkEK4tK1Uukio+ToBehn61ff3tDJvzNf8%20qwI9sp/zTBUCEuiw6/EsQ4N9eeYISiNmoi6+mqXv8wQHWIzTMvhriHju9/pqNsk7esDoAaj2pX6X%20DZPf86oJ9EAjyEIUHhMeiTpAd5T8pi+UnimFppg8Z7m8F6WdHOEhWIRmUtdCXQMjluPMW3ttqa6x%20aMwED0EzEqh9xuynb/yQ6VNSCDKmuj7rWktnqm/Kvd6hgCz/kyAgWjuNHDANPb+u8a/aTqVfAo5E%205TGJq8TSA1LAWSg9KwdgDw2HNNdV+7fr5zc5piMobXF250lP/URvcuL7YWdTMfvxC4jSAkrHaxwF%20qmkn2i6fHKAXFCPZVTUMJqE6vwH/cW9b7u7MNakeg2WiotEJ+eazpEVhqqqL+P+y69J7ohEKqsDQ%20lUYyfhp5BLMhbWzMyHpzWi/Apa15+2/ondEsCRT67tBAVUx6oTJtC3L6oR/6oTMlq4a0qTFjO433%20HkHpNM76jDHzCZD0OO/DvObZ0I8kHKZAGFJ8jg6WE6HHcS5k3xEdMZFtU2uopZH0TSCGKDNaHTM0%200CCYAKVekx7L2N1P24qfRfi6//O1CfAR9ZnjHsaah2Om9DuafPXvDmmL0zTIqgH2YwwwqYLC/Cgk%20/v9v715fbavqPoCvd/4DEhiEvS0NfBeGeoKiIgMJTO3kERO1C9ShRJBAoYt5wULU4x2LlKeTnqDS%200+X0UL3wgngUBdEoEiNFKMFe+fp5PuPpe56f03Xfe6+9195jwmLdxhzjN35zzt93/K4Drxz5L+cI%209uCXFbiUY5WLy93wLHZQWvIqjrvRFn1glxx6U08b0kxAqVbAVCGCSvJg9VH0B2x+9kf7qTyjIQgk%20UTGA2UzpoircVsFfY2Sc+Ci9J1jBSt934ESDEq0nkCNBOMN9vqbRPDQfazO49LUAAB41SURBVMuE%20Zwx1++w7JRIw+XPDJORJ3HZPpopGLYEUcE91FYnjNvYTuq5Aao6qnVXTZoJ6hlGm2gBp/iVlpoAO%20zW94jfEQv2oI+fx3TG+JAx2U+n1wggPRjFSBkERLWwoorXIlv5suSTUl4S8hJthB9JtcJ8I5+ztt%2017yHmnCAxAKFj0SxUveBrR1o0fGH0XicO2/Nw5jzCH4V7PGAr+3o0aMtOnGW/7NqHsZmYpQyIXVC%20fh3TGZOz7VsklwNS2picLCAhbN9LUMe4iuj6zzMwvBb5nX/wmWeeaXSrGSmxduh/YpqNX24Vi4zt%20um+2atwOSlvF2TXr18OT1WO2axDe3I/N5UBW5VbtCXwgoFNqKuC/aq27gmcqMRDkTFaiCJkbFW1V%204d5eUcBq3v2hwsGAcu41mgc/m72ghNDL/cv8a4RpQLNGlxobDf770Y9+1EppKVArcEO0n8omks9F%20GH79619vtNsJ2LtcQObKzFk1FFVZAJVXwHa4oIipjoZrLjQ8oGQMwOi3RBsyS9rZuB+Lc6CD0uI8%20m3hGXRWtWqhsdBrV+e1h9+BltbdKJ/xG57GTz69+C3QqISWghAZi1c30E0BY9Qq73q9D344EbC8C%20ncAmwNVdFCShJE9d0Eyju5oN007ejwR0vhiJx5JtmfLqPTfuPPwLnYDIPWtjRgfQpI0CPdVQAI3/%20lNtSeinh6toqPqveHY0LKFqQyb+qY4Y3WbTR6JjwWBK8JM/rn9+sVtiYpnnt5Pt0u2nroLTdV2CH%20jO8hTLUJNn82+DxUO4TEXUNGjdRSY80mfSoGiOxyBJhSZWC7Fjg1UMPngJPyWcxihw8fbgJf9Xim%20PoCVWnqzLlYV9KqPAAJ5QPKZROqJAKQ9EvI0G/6tRAKiA7DE3EeTU9eRlkIDBXQCSoC8nWVpSACU%20mRQA1n2nRNKh5cCBA60/mptt0gX8pKhszJPml4oo5kdLSl28zBfooTeV/zswzboT3v1/B6XFebbr%20z/CQZlW46hX7rmdumSA+E8g2gWRionXEeV7LWlXNJUEnq7wuxhdU4AA6zFW28FDzThFhFRvOPvvs%20E1uJJyG7Jl5HE48GknssQlsqwnXXXdf8P8BOJQh5U2ovWiSpjkHrUcoJEKoQQasBMvrUVm4dwORr%20YpKTcyWwBEihlQnSi19MhRU0ABXfXQdll4Aj0DOuRYIyUvpRQzDlouq86k4A5m1sNQCzyV8Fsb10%20b29krisDpWmrvVU+YBth1iLnzprTdq1+J82h2vtn0b4IH3rb8RwIuBDyBKvVvg0UBZgQ8Nn+wbUY%20RnhVAZ/et/J+QkNKClVQZCLjcxLaLjIPAFQArZ+HFSz0WcO4M4bEWlXNCXWaCjAAgkxrzGNC1Ql+%205jKai+/yrAASHyit0/nGoynhpVfAT7V84MLkJrLQ+TQhJknaFBByqMDPV0XzUZFDUrk6ePFvDd9r%20FQg86snmyz/5KwOl5UnsZ66SA0O/xyrH3ktjRailmre9e5h87FfFhGQFT1jaVyvCUYSa4IMA1jjB%20N1xQbDZYhe5oC2hQ28+WFmrpEd40GICAVp+15bNR0ohfRwACH5CIPu1pMvVgRkv4OQ2mHqkEEX9n%209nxSOJgmpcxTtJOU8qo8MZ4D2NCAaDUAjonPXGh96GYGNCf08jupaZl+KgAN+e2766jfaJZ9kbfY%20k91BaTF+9dadA5vGgRpcQtAxF4niIuRtiZFqC3LGmJus/iVtMm0Ja07SKYJmJZ4mciwag/dJADZL%20iAaY0I8mBYr5cPhSbNGiWr4Xs5sq+TQq5jVFWm1xAaBoO0BMXwr/Agjz9TuAEHbNBAeU1Z2zHUZ8%20bdHWon0lvLtqjcAKfypfQrd2QDPFk30XHOEcQASczAk9/FuiA9El7FyUX6pemHPlJ7r0S+tN7Ug0%20zhvqvmk31pp31EFpmy5gffA3ezW7TVPqwy7IgWFlavcEXw1BbKdf24gwWwEhQpHwVoGc/4Xwq7u7%20RvjJw5H0rA3gilM/ghyJ8RfGLFgj/nIvzgKmYY07oOFF8yPcvezbZI60G6Y3c/GKkOa3oYmgmVkt%20JjmmMweh7zzaT7SOaGjoq/lRoTums2nms/q8ZWGgf2NZEDhE1QmeQBMNjE+Kv4o5EWAZ2zXgf0oV%20/mi9qj6Ez8NbYjOf9Xm04lnXccFbdiXNOyithM19kM6ByRyomgdhL0RZVQ3BD4qZMu1pc/z48QZY%20VutAiomvVh7QRjVyYeaAxv4/tAjaF0E6ND9llT9cyVdBPUuIVt+K/ghrL2CY7VMioOueRX7j26Gh%20eBHo5kbQA7dKE78P7Yn2wdRXgWmcj2fWvVYF9XBxGLAF6Ex4NDsVOJgLRRnS9vBSgVn+NDvyAjPA%20C0QtFI4dO9Z8cPv27XtHNZRZdPX//48DHZT6ndA5sEM4EG2GgBMiLsGT6UpYMy3J/3J5RIkRjgAn%20+2tlCvGr0EJoH6LVbCSpuoHEV8KewLV7rFI5atHpC4hlE8kI6mFdt2lsqpqKdjXPqP5XQc44iTKM%20RuW3bP9AsNMS1ZoDxIS+rSMAXo2AM94wkGLRSzrUKPQHXAEmHgm8QAMeCRenBQqKSA1DdPGRmTd6%20nQuUAsjdVzv/FVkZKK2jGjk/G3vLzoGNccDzUZ8RgCHqy7bcNCaCka9CKLSVujydOPuBjmgy0WeA%20CMjI89HfSy+91EoZEaLK+fDdiFST98MHBABpV3w4KhQIS6exMFfRTBJYEOEawJk026EWUrUu5ww1%20E9+HGhTBHpMYmmlHSh3xMYUOoJS9y5yfPccCVglLn/eqDDXCWhOQJsRMJzgCWPH38fEBIaCkMgfT%203uOPP96uD9CknQ7BeV5a9nq7lYHSXmd0n3/nwKIcEKGmxhpzFv+GfCaaEbOY5FXaDgCygieg5dsQ%205kx7/DKEI23KKh+42PqcluQz0AJKhLnAA0KW4HXoWxRakkWNCQiZ27Jz8qy5TDP7RSMk+GN+FJKN%20HmMAW34kgIVevjVBBsoIpb35KrQqf0l+k3n7DYCkUGsNbJhF77j/q1nV/0LTmecA38GDB1vCrRB0%20JlbgxJcnqAN/+Z6GILwMDXvxnA5Ke/Gq9znvaA7UoAQgcNppp42uv/76BkA0IVoP8xwhrpSO3B6g%20QpgDMoc2AgiY7Jj79Enj4MCPiUxbApTviQZF6DqAmlU/UAJI3lW+dgwDCOb1OVWGRytEP/qUFgK6%20QEaJIaCi8Cm/GrOjuQmzFlIOrIAnGu1RRcvL9h80SubL8CCgUHOrlrnwmWMCRPiRVDyxv5JADcEb%20/F7oQl82UVxmrH5O9yntiHtglmlz1oO/IybRidgSDsQsRatgsqt126YNSLir9u7lYOILmBHwTHTM%20YUrzcNrTrPhwgJw8HRFkqktw9ANGoAj0aG2Ec+iY5XfKDqy0mAQvADlBG/pN0qrEVD40tIkwNF9g%20akwBHYR9De8m+GlRtEAao4RZczFPZsdE7NWwe3zw3bnjNi+cxM9h8jK6memAuEWC/wFSgNscYr7b%207JtimqyYJUc2m5at6q9rSlvF2d5v58AGODAt3LeapWaFcKcfJr8aDVdJ44viYxLhxnRnkzrmMO1p%20LP6T0Kt2HBMVoc/8R8simLMH0bgiqvENAQLj0IzkAulTEVobHtYcKnQl7wggOl+wA1AUDUejA4hM%20k8LmmdAAG3MZ2rwrHEtjEhzCF4cHQCiVx5fJG6qBCtE0ASaTKPDk+1PR4uqrr27AnuKwG7gF9uyp%20HZT27KXvE19XDsQcNdSgJ4U6RxjH+V8j1ZxDq6haFe1D6R77AtmfSAIpvw5hzn8lMVbNO+/yqpIL%20NdQo8FcAgBcTl8riIglpOIS3LTuAVYR8zGPRbozrYKpEh6AHdfEIfZoRrc25zH80MmY+ARu0lPjZ%20RModOnSoVcpQzWFYR1D/y/ie0Bh6ASVfEoBlQgSAdefZdb3PtovuDkoLcH6WGW2r1Odpq+YFyO9N%20dxEHhvfELM0q/0fgV7NWhHJ8PTQgoPGJT3yiRQDKz6EdqdGXTe5oVT4LgHBE+yCogRWNi/+KOU3J%20IOAD+EQCCmbIEVBKFF7V/JLUq/3+/ftHn/vc55o2d+TIkRZtSNsCVLaZ5/sCOMBKySGmSWZCWoyD%20z+qFF15ogMb0lu0pKh3GDnDHd1ZzotJ2mMflO1CSz4RfQsLxoB/LcaCD0nJ862d1Dmw7B5ZdBI3T%20qCpoBRg4872Yw/ht1OCjIfE5Me3RSAAE8xlNRSQaMLLFO+2GCQ24KYiaPgUlOPJ9GDgRYIwGk7Yx%20wdXtIowPjJjR+HZE4Ykk5AsDoMoIMS8CTFF62guuEPDhs3mgR8Ku8wAkIEtU4CTT6JDvqbGHJ8L2%208YApsR/LcaCD0nJ862d1Duw6DsSMln2RCGWgwYlPU2EuE20mz0lRVX4mAp8wVjhV1JzkUqV6aFZ8%20PwS+Izuzzrt1+pC5MZf5PdoMf5PIQf+dfvrpLZfJVuh8UWgxDxoMUOQDE1zBXwWY+KjQKddILlcA%20OJv0DUsxzbrYFajQB+T6sRwHOigtx7d+VufAruNAzFIBjpj18jvw4dj3chD80WAqM+RL1YOAp5Es%20q9mlr+oPilkttPFrBVhE8vmf/0m1bsEQtCAVGICkrddt5Id+GpYisgITVL8AcqLoavLsrAs9TNSl%20NdZN/mad3/9/Jwc6KK3hHdF9TGt40daI5HH+qup3ylRiisv3au6q/lfn1si8zWDFuGi4aDep8MAH%20hQ7+JfUEaUmCIvwmKIJ5UZi8benlgPE7mdPtt9/eEpGTKDurAvuQN+gQcl83ANyMOe+VPjoo7ZUr%203efZObABDgRkJkX8DZ3/w6FmBQltgLQGMhX4Uk8vGh+AsS2ITf3kZGkvEVfQA5+XwA4AxMQnv8tr%20Vqj9NHrRshma4UZ4ss7ndlBa56v3H9rrynYrH/5dwKo+hU3mQL3ftvveq0ESCYMPYKmK8e1vf/vE%207Jn1BGP4X7g70568JmDCV+X3+LEW3UWWX0ofszSsSZdio2bOTb7EK++ug9LKWd4H7BzoHNhqDgQQ%20IuBTsy/+HxF4XjQkldhF8EnuFf7O1yTfSPBGtK5FgGLZYI6t5sm69N9BaV2uVKezc6BzYGkOJHCh%20bnnhNy/mPeDDjHfuueeOrrnmmpbke8MNN5yoPr7IwAIdEm24CJgtMsZubttBaTdf3T63zoHOgRMc%20GOZnJVkWICUoQbUJlRlUZJeE63sATUfjAj6GLGbuS0j6MBhknssxDBKZ55zd1KaD0gJXcx1WPeNo%203G5b/wIs7k07B7aMA+OiCgNMARuDy2u64IILWk6W0G7AlHwr/896npgFU7l8OJkeOTv78nZQms2j%203qJzoHNgl3MgQRLMe8x4QshVZZCIKweKiY+PyRF/1SRw0ld8UdGuxrFvFrjtcpZPnF4Hpb165fu8%20Owc6B97BgYBJdrW1/bqKEKqaf+tb32oVKuzMq4SRHCftVY1w1Mrj0zZClL/E56QIbj2nA9T/X4oO%20SnvgwZxmduwPwx64AfoU5+KAZyFbs6dQrO9f+MIXRh/60IdGjz322Ojee+9tVcAVfhVWrsrF8PkC%20NkAnJj/7PKkdqJisQrJASxu1+a644opWkmlYPWMugndpow5Ku/TC9ml1DnQOLMeB5DYlV8lOtqqb%20e9lhlvlOSSLbZPgNgNkWI4fkW7XvVDH/xS9+0RJ2VTpXTFZ5I/+pWK7ckTp8QKkfXVPq98B/ONAd%20r/1W6Bx4Nweq3yiJuLSmFFpVeFaVccAjKdfeUIIjAjC0qqeeemq0b9++0Y033tgAqT5ryh198Ytf%20bAMPo+3WIaBqK++ZriltJXd7350DnQNrzYFaJSIAAqSSfAt01MpTFcLWHvaX8h+znF1vVYmox0bK%20F601IxcgvoPSAszqTXc/B2po8LrNtubQTCqOOs+cslKf199YeTaOf5N4ulVa+iI0zMOPYZuat+Qz%20fxNtSG6Szf2A0nDL9SEv5+XtMvSt+zkdlNb9Cnb6F+JAKknnpOo/SPTVcMvsrJbjY6hCexgePBTo%204wR2xqwggq5ptdImgYw+apWCzKuOW7cpHwrDCgz5j48kDv/QOonJqQ9njESdObfSW3eX1U9oi1ks%20O8wS5MPxKj/HfQ5ddYfYysvQMWsei9xEoTfglFwnARACH+qYNQ9qaKpbZMy91LaD0l662nPMdZyQ%20muO0HdskQJKaZ3V+EaQBAytdR4Sjz0PBQ8ASSsPaakOBGWEUITxOIFXT0DzFO4f7CaVQqH7QVasH%201E3qjB1BPc1fkf/moaWCX+YxDHEe/l6BodKBn3VH2sq7Os64z3VxYY7ZtmLYNkCyGTdqLdA6zrxX%20QWkWEE27HptB6zr20UFpHa9ap3khDtSVM4FLgI8ToFWgDcErgkab4Ype7gmhWrcrMI7f33rrrRYa%20zKRz0kkntVV0hJp8lTfeeKNFZtWdSidpMyK/CFercf07n7nId2P//e9/H/35z39ufgwRYOapErb/%20jakeWyLHjHvyySe384Gxc/QnqsxvKhkIWRZVNmkvpMoju7c++eSTow9+8IOtAkKKkooyM27K9bz8%208sstPBo92px11lltHBFq+GSDPccf/vCHxudzzjmn9fvXv/610fnmm282mgQK2APJxn6SW7XNddbe%209ucOodtyi7Io2Wqz2RCkqta50E27hxt3UNrDF38vTD3C6E9/+tPoN7/5TXNAS4gkLBXd/MpXvjJ6%20++2323c7lhL8P/zhD1thTjklv//970ff/e5321YE999/fxNwr776ahOehOFNN900evbZZ5uATc6J%20vBTRVt/85jdH//znP0e2TUDHxRdf3FiuUgBhLCnz3//+dwOB8847r4ULV62mXh/C7u67727C2nkq%20DNx6660j8+Jkt0U5vwbBjFY0A7svf/nLo49+9KNt36A77rijJXsCMEL79ddfb2CorM573/ve1h/a%20JYkC00996lNN6I/TnKrWw8F/zz33tPHC069+9asNEG2gZ5O9X//6143vR44cGT366KOjSy65ZPSX%20v/yl0W9r8ttuu63tcWR+xnPeKaec0jbeQ7drAbyAma3PgaA5Hjp0qG1p7nCe66XCtwAEIOezOnYi%2047b6CEi/8sorreK4iLxFt73YahrXof8OSjvgKs1avW2Xij9u3Fm07gB2NhLia8nKVeIisCHovvGN%20b4x+9atftWgpiZGEs+8EKW3h2LFjTdD94x//aEJP6O/BgwdHTz/9dBOMBKySM9qpj6Y/AtYqHghp%2053xazeWXX94E+5133jn66U9/2kDt6NGjLcfF1ttXXXXV6Le//W0Dt/e///0NzGoIcuUnoPjjH//Y%20wFU48c9//vMmrGkMDz30UBP0tmFQfeB73/teC1U2ByVzzjzzzKZN0KTuu+++0YUXXjg6//zz2z5C%20NsBDu7baASNzRk9oGV7X3Ad4d9ddd40uuuiixofnnnvuhJaEThobnv3yl79shU4J6VNPPbX17doA%20aBolrQ1fXSd0vvbaaw14JagaS6g1oLExHxqfeOKJps3Ve5Qm9eCDDzaQBeAOc3OdaUzLFEed536u%20/jvX/Oabb258lqOkZFF9ZrbrWZ5nHjulTQelnXIlOh1bygECjsby/PPPN61C4uJ73vOeZlKzl453%20Qk4mfoSx8F7CG/DQAAhEvxGiwIBJ6Wtf+1oT7Dms1GldMV898sgjDaSs4rVjykoCJkAijK3igR+g%20AkqEckxtVUuRxKmP48ePN0FnTsCPKY7W9pnPfKbR/6UvfalpRn5nlgMygIgpSX4NwWjOtKSs5M2L%20mY/mQrNRSgcQTNKSMl/bieMboNAv+gE7MDl8+HD7ztT2gx/8oGmCgBhAAXTaGk0VSCnbow8aE03v%20sssua4BIswM2xqGh4pdDG3NIPTq/AR1g+re//e3E9XDeZgY5zLpJ8YuGRvvG734szoEOSovzrJ+x%20hhwgMJlTCDOmIQBFqBP+73vf+5q5BdAQkExqBCKgsupmaqOFaE/w64vwcZ6CnX4DRMx4tAJ9EaA0%20GyDyyU9+sgGgl/aE7L/+9a8GFExLAJIJ7wMf+EDjrLGB2nBVbRV+xhlnNG2M9kOAAxFtAR1t7NJL%20Lx39+Mc/bsKfH8ucmBFpFsyTQNShL3QADwcg9JstwQ8cONCAhRnKHIfhzVUzAODMckxpQPZ3v/td%20G5cPybzwlxkPgDPbAQkghXYAgmc0NECIdm34xoCS+RDuhDwNV/UECwLaFBpcJ+ZA2gie8TXRTM2T%20KdU5xqU5rmrjvQB+/Id4W/m1ho/OyknuoLRylq/3gNPMDzvJtDdcHRPaTEnMWzQl70xuBCLg4aDn%20f0hEnlU7/wbwYH7bv39/W/nr14qcoGbSu/LKK5tpiFby8Y9/vAEfgU4o0axoKnwgOfyu0CdzFy2K%20ICa4+X6An6MGFtR5ADWrb5oPMPjwhz/czGW0H7TblA740JqY77QlsF0zdAoAiKaBfloM/1FACUjQ%20XrQDBkyN11577btMUKHRO23Lbq3aff/732+gTrukrZgTkLAQwF+mPu+peoCmhx9+uAEGzQzv8ArP%200QXQ9YevzJNMnPG/8c/x69FME75u3p/+9KebVvuzn/2szZ+fTB6RY6vuz+G9Zr6uczfVLSfrOigt%20x7d+1ppwIKHRH/vYx5qWQRvhd6D1xIlPgNxyyy3NX0O7kYlP0/B78l+svmk8AIDvBMBZiT/wwAOt%20nIzvVvIA5jvf+U4TpoIHOP9rbpTVPEABAICPwx5Q0EimCU6CDzB6Z2YDdj7TtGgSBPtPfvKTJviN%20yxwHHGkbqUgtQAJ9iVIDXAFhAhTdgCT/Axz9TDvQYK7GphE5B+DhbQ0u0C+gY4LMATABk4O2NTwS%20GAK49cWUh15zJfiBVExkNaqRtgokt+tAJw20m++WuwIdlJbjWz9rTTiQgAcg4+WgqTgicAkPwlQE%20XA6CGXAEKLQFao68a8MXQuvKYbVOG3AAMEeSR30mlLVhKgN6KeTJlEbgJrS5rr6zwifEHXWnVHSj%20wxj6JZAdfqPRoS/fjeelrT6BmfeMra8amp65T9Iwaj4OPgNgvyXPCJ0BdXOrgFSrcCfvK/3FjxWf%20EhCq52Y+4Ve9ZpMSiU9coBV8cK/gx2aBUhY1kzSvWT6zWf9vBUuGYw4TmqdpkR2UFrgis9T/ZdX1%20Zc8L6VtF1wKsaU2H85hF16L9L9t+Up5NhO7w/0TsVfrHzWVeX8EwLDhCpmpQaAgdGX8439Dg/5is%200keqKEQY5FrUc/I59OR7/FcbuV5DgMr9UPOHav81byi0jqM5/qzhtRjH+9pPwHHZe2aR80JLxrcY%20oc1uFJTMoYL6JJqmgVW2yZh0Lm2a/xPNNf+O+ZUGT8uedAzz/Wq7IU2+0yDH+UqHsqOD0iJ3X2+7%206zgw7oHeiHCeh0Hjxlwkn2USaI1bGCxLzzznjWszBBhtxkXwVR5MW5TNOnccDRWIl53HRs4jeOv1%20XPZ+CijpT8AG8yeQoTUyDwooSSAIXxuTpv+1FxDCIgBUmHRFbPpPxCLahKxrJ+BH6D6NmmatT6Zh%20Vc61ZwrWXpSnNoJXnMffqG90CE5xnQAo361AFiZdUauAiAb9kY98pLUR/cp0LkjFS6ALa0EF8A5K%20G7n7+rmdA50DnQMDDgAIvsnsSrssg6IRO18umuRi4feARYQnYW8/JmZdYAAkvDMfEvj8lD6roMGX%20CMDkownH//znP99ywQTzABygBYD0IaAHcOhbpKOAEu2AFp8sWgQLScoGPD4LJuEfFTwjAlMwizG9%200E3rAoBATD6gSh1AV34gMzKQzHEClFYVMrnsBdoJ523UzLZVc+h0bRVne7+dA/NxoD6DgjwExgCP%20ZbXXnJd+aRq1CrlEYmY3GgbZLRLTZyDiAA5MiECKn5G/kfbknd8QQPks8lToP/MdzQjopbQUQAFq%20+hBJmkRoYOh3AOM8PlRakGAVkZOiSLWN75OJ0Hft0YUe4OY84Cri8sUXX3w3KEFFxPVjMgdmqeHb%20BQ47la7KyVk09vuuc2AncWDaszwt8CM+PcKeVkJI12MRGaEv2hbhDgQI/fiYvGeH2+TU8QnRRnxn%204qMJAQRmN+P6zTuAQ5f2+qUVCQIylv9pXrQ94APw9JFcMBoYMEObdAomQ1GkwEwQDeCTuoCGWgTX%2073LU0CBNIME5n/3sZxsdtdrGCU1JCRb5Bv3oHOgc6BzoHNgYBxK0stHFWA3oSHALyoaFXuu2If5P%20eahJIBifFyBKMEnGSvBMDbxJ/wHd+l6DdHxOdGcde9i++ssSZRmOA6X/+t/X/nGhlBu7LP3szoHO%20gc6BvcmBCPHNnP2wz3FjzBvxV/1dW0HrvPMeM/Z//w84Dsu4j2ZCDAAAAABJRU5ErkJggg==" height="378" width="421" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 1.&nbsp; </span><span class="textfig">Municipio La Ceiba de Estado Trujillo-Venezuela.</span></div>
      <div id="f2" class="fig">
        <div class="zoom">
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jg0F3eEX%20OyoU1Ik2cZSW244gaTaf1dePoinqnlCxJL8kLaTTBdTp9f+eyYa21lKTPjZax83m9otEU7QzxBWR%20DGI2asNR/G9NDHDN/FQFR30Rq1Ztqp/mVvvrSIxrBsYvCoxViZEPmyAcUqj2SUf93erZLwISzTTj%20o7T0dp5zFOC06kc7gFa+puGYdaaAdKRBt9P/djZ5qwXY7jiVhXuj+Wy1cX6v739RMD7i861shEP9%20POJercCjUBDaua6VMtFq/Bvx2M0Ums6G16sT9VCBodINammKuLSiRPrbUfz6ke3o1Fr9ssC4rLbb%20lxTYcTQQt7MJ27mmmOSjrm30XruvHQWIRwFqJ21/kWe0Wtxf5vud9qW9sS3TFq1bmyyuZtKns+3Z%200kPWujkdX9HJ3jwqa64TMI4RazA0Akww9W00KgFip91t/oFWYXFlADxkteYwWf96MwxoCqQ0r8r7%20Vsyu/DbSEdW11lADT408LPeKgYrBLbi3xhx0/YebjVhH0RQxsYXYqcSyJelSPKCVZtwpoJbvd9SC%20aso9lQ7xbPX54v1Gi/Ios+bFaIraKWopYMJ52rzCXKdbqNH17ZxpWK4F6xIoj0t1Q6SgpLRECqed%206ko6pqau580Xev07dZpMe33uGF3au20OFm1f3OzCL1EzbnSrgs5se41WgKcNUywmuPrUevAt/FGN%20QLl4LV1Dcc/SCSOFFRt3zzGn1d4t7mN7ikpy8Rn/5zvuX9Pc9Ee6b+rDQX0FuiJgofhZB8oFFhZr%20Ou2FNsatyVrobSkK66VCDsJJ2rLlQiqkztQP2FG8ktceZRZ0usjbAe1D0vdISqV2ace8HqE2tKN5%201PepUZuP0iZ0lr7Ic9ofy9bAVZHB+S/lcam2LQFwBYwrC56Iz0OPOPzMo/vYuo2twL798fi7vbIW%206l6sLeXRamftJEs3B66jHpljTrN916rERe1eBEfyZJMKZhTYWVlnR897whMbvM+9CCoocc2hGtQk%20s+QKQnymqhkDZtUeFwDnaFQ1kMr7NcKtQS2MF5mt3o5wPBU8DRSOhVLaWY0mulmWVnFts8VR1lB9%20XPlo71YLqv7ezTTa+vuUo0oaRZi0+9xOJuGoMSvfJxZaA52yk2cddW2r+Wj02dqoiHoaorTA03LJ%20v5pvqFbj+2X19fdxny+rL18mGNcrP83GodL2VjIv3uefJgBSWE0JLupv1tyRdkhJyz9/lGZffCY9%20p6oYVhWbuoMqygAcmmx9J3J1ugEIV1ZySZksZy2+QBReZSpa0xSlgaxyL9UBLg9Ao4H3/VagXb8w%206sGhfI9WC73+/aS5JSFS+15hPlef/iLtPEr7b7XxOwHBvAdta8atxqke7MuL7Oh2F8BbWfeHLq99%20tvNfLPZGO7zYPK1i3oo908Z1NS1qhSqtZumrfb9M29RAglanj/4iuztf8yEam0QllHtXpecSpdTO%20Otjf+2LjWwbtQziQL7FWba99v0l7akyEQIP0uBjf+s/koF5gX5M5qAiBL2mJtATjRlRCFURaA1mn%20APfiIFE7IodBuU461kxA7WQcwUZUHnIUkLYLhJ1dV3DG7S3+du/dbLybrq9ikzYYpEbPTK/Va85H%20r95062b9bK//X9L++OpvU+pOI0golLYacVbvqXNOavj0gkNImFq1uFuPXWVaW15aCNGjhqgZoFdv%20XhUA6bUCWAsdt2UzDj2+9j7VDVu9sB16tIy/9ev60OdLF7/Ivita1jIDr2w2lAGo+ntt9ngjECwe%20Fu81oaPKa+koAG/V2caAcLSXuDH4Hg0gjT/TSANvvlhb9aVm3JL7rpIE8qWiRHTVMTpCG8p3Rasz%20zJoDcqsWlysM1AvO8mdbaWytnvN7eL9jBKl+oCK68g1+kKNp9fgkPAf54quUqMmvqVYuSZssgC26%20m6AtzU25cYfN87Jp385IyVymtjF/dbc7aq3UW5Rlx3C0OMeJmta2sBKKe5r8UV6HiYioNq7Zvqul%20NWonMd6ryLgc8CsvNBvTzmoetwTj4IfrkSfZ/jSubDJWNaCjJrF+ORTXHloWJU6mnUXx7+s1jSa+%20mZOu1bh9VX2s8L9HgUjHAPMVtPbvsA2dPLqTIu8FVFYFbyDHYSq2bE3Xsz6tGlcI0nhYVXOszlCC%20q/S2ezoQts2vvZqQutqmHG5YFYTrbx/So/pi8dG221F0rRnCHO5O/T6sAfAGz60VmbWjd/junQGx%20n++tL7LRaAYaajt1KBrYnE90hUvhNZOlq8JY7Uv5XRdJ4fTryawDfe/TqaZ11PXNJGLj1wtt+rBE%20TWum9vX0Wn2RpKPb3xEox/AcblNlvg5LszY3UzS7pj+NPljRxhpoJ0k2F97sakOc02JcSjjQVrua%20Ww0d7M62ntTeRe1aMWkVdPpVv5YO4nDQwF/+2Q++t9gelch+dFH0vZq5K+5TAGse7VQcNFoauso0%20hjVUqjwW1/CBdjvB55NKVvqMwqTJNBXWV1lTTWujKoHivWI/tdmQVhp92cIvZicPQ6hEYRz1qMr8%20l4Rile+vdvZwv8W/9tZs26dDVzpQAG6+fYs582chC0I2xephopoozAXQJlxrr7GdLvGv6vrqxihN%20awWMCkdhAuZaB0Wd3tAOOV2MZStVpW7zFIEvrcbgCIdxw48W9200ZY3ea7OLlWcdNqVb9eA/vvcr%20QUvFHivNbaKqUp97XHPxe3rhMH7mxXIC6PLKu7kiYUhqUCDZLm8VYFwAcydO0tSejrZwK6AXv1TE%20ApNzwXIkvfJia6AA44RdTYCqcuuSwMzb8mWjVm9Pd0/rntQthiSFPNrbeL5qcQ4XR80XK6UCzPkb%20VbmeXkhrSdTKf9a15u9OMz6kqB/S0qtti8bzfk9Jua9ysNVhebHpq/LzR3Gpjbdjq8kttNo0De0L%20i0YgW21n9alH8f/N2/Zi49Sqry/yfqfCpPNn1Pa1ALYq33qQ9ZS2qDNURNYkaxL9uFCh871YtdrS%20uoz9CrLFdZVCTCRH8MJeaN3sYb8rCTptmNglzfUAurJmnALXms1hjhcNBqr4RNwr2pwrlba56GN8%20ThSp1Uarz3eP1AqTvKmHq7/lGTEJzbxjCXAPabOpPfH0oj2NxF9qPP8xJsV8tBI++VgcyRk3Nevz%20D5cnoKwtVk2gdGFxn2ZhYM23Xn0vjurVUdc2+lzze8XEuBCKwa/0txlYpUVffNWPS/F6uZ9tzk8+%20fp1v8a8KRI6iDw6/l2s1HTamw8s7H5wX+MRX1aam5nzAgwXBciDK4SLc5d0JjLq6E4Bq4pPDxrX+%20nXQ8v/YDeEHywIe9rPugL6Gbt8yde938jMNJK0s4ELv1CBUIt9+JFn30bctjXGlBQsojvw6/Xf9K%20k5TwQxIkfa4RfVgAfBJ8dcDQerTauqJlaFvDu1Q6Ua2oVKsBpU811rSaaXeiX+3TYjmWXqtwNA0m%20p/69cvxmpR2N7hUNPfzcsnAp3m5XSy/H1dYAc1tTcviisgbeLnfZ7nXVpx2el8YA1AxgG81rGrmy%201tLOEHxVwNfOs5td0/l4vvjTEsWXQyLDnXwxarhkl/FrL2Dck+3l2iwONNJ4ky4mh5yiGpwlFep9%20rbWA7pT9iD4c9+JOuTG6y2/cK+7QXmpRFR+lOtL8RjZzSbI0Wzuh8HYwwZVLQ6CUV2tpfGOZVYVW%20xRqoXFK7NqsZdd7T94oetVaR8qlJ89Fgigt/UsxY0fjWt407tY6m6HBNtQNY9d1IY1kRzTVPLINq%208Uaj1456rwKmTURs/f0c5JQxnysM+aCWdYbDgqZ2cTQ6Lqb8mTb1j7jp7weMD4f/Hb1nyiZdMcK1%20y7Pa7jbUm3z40jNb0TEdLsov4fJOAKTdxzVz4FbWRkUBS5RCQChAPNAjGO/w915QDPv8lG4IXhjA%20Dn05OOIExgWxEVQElEKFrgiFGCDPNeykQTfeh4f7lNBR8Pd53ZUdU1xZnfMCoIpt3obeneAgB+40%20TrXrs4xvtc67QllozpQ4l+WojsN+k1boWUWUxnOdhGmzr2ZvvZhmXNk4jetLHLVwm0ZvVMD4qA2d%20Hlxs2NrO1mtsZbAoPtcKNLwuaQfhQIhnxYpNz421WsB0cc9qxaZCdFc+Wyc7O1AIarpW7W9qVztf%20bV4WvUr3rI3NbGaqHo4dLY9zeSyKVhb3b7XJq+Kp/ba3MxJfzjW/nzalsQJisz39MQmPEvHAL318%20d3fhcNvZyJYXZ7P1pbmsD3CenJrI+gcGAWpKzURkWg8A2xM1z9N3voYthAPYHoDP6tF7u7jvQqve%20A+yhMVLs0yG6N5QT2lOz9vJp3+dmcqg1GK5c2K8KgUSiVHZHtK8V95B47rwDDaawVqErNmiOAfEs%209nH8mZ9CVNn66ZpKRnT+mOrqK1tyjSmL1Jw0Huk51T2ZQN7IkuKO5TvnmNFkSb6wZhyAU1qhxe+N%20Xj8qnq9oV2lLNwGco4GoHiSOPnvvqHtV3yvMxXIyRDHdhzXjKndWGZaSXKkfl4D8dlSE0sSl+zYT%20VunCTqMjqhpH/Zg0Bv3DwqD2uvR+s88eAYw13fpPQDPOgaI8n9WhU7NKcJNAbC/rQxMeAIh7djey%20raVn2Z2P38se3PosG+3vyV66ejk7efJUNjw6lvX0Ao5dvXwGMPYOAHTW2yfcBmgKqv3DA9nm1k62%20BzsxPDSW7fGQnR2QWW0a9C6K51Rmkbb08J8RGMX8q6kHyO7vpBC70vylrg3ymqCbNHRJkcR0d1ei%20ro5YDek5gnq+SfKYgXyR11IdBW5Xm5Anu1SUqFL78s0ZipUfKBygFdF3uFU1q9lm5Z+rWBw1e7K8%20kDvb4C8Mxo0G8jBApW60c7RTs03cDu1RbstRmmOz99p9RqHxFs8rPlcAdFH0qWLEVKpAHZ6U0K/b%20CGSp6VuDQW+ksb2wFmccc7IHjtonh95rd1yPbFcyQzp67u/vYsHxS35accsG+zU9ygvUug6y/q69%20bKRrKxsS+LaXsp2N+Wycv08Od2dDPejNgPNW107WvToS/PIu9SJ2ANqN3Z1sVw25uy/b2N9FCwaS%20Bfmermx24TnAPZC9/urb2fg4IK7WzLe1JlIlSZEwtcP57e4Djnt6Yy9r3aoM6jDc71arFo4TFx3g%20q6a8m4C4AGP1bnnqoipckZNQp1ukQa4AnkOQ6ImK7IoL6hWSfOkcgX1xj/r3a43cxsuPz5SnvgD+%20yqsBzK3WRp3C0uTytmmK+kiIRhpwM1Bry7RuolG1C5T1AFkDYoU0bLLZGz+jOsg1Wn++WPJlmtZO%20LmYL7rl6faNRL8R15xv8KK682v9araHVMkntT5uo2AhHfaYyVnVaf8OeFuNd0VCOvHMbi7qd3ny5%2019SujXY1nZa7szrUjlE+TlULMmXBxdNQW0d6urMJQG9jdS7bX17Ihva2snOTI9nxnpOA81q2vwsg%20rixk66srAXZ7fFC33Caq7w733gYn10Hnzd0t9Gv4ZaiNO/cfBGBDbmTXrl7NRkeHAWLAfr8fcAXA%20BeYIzUpgfIBufhBUBloysXbdtEmLsQdh0A2HLR0SgCwwC+iVULncUZjYaWM+QsgUGm8B2MWIhRwQ%206IsRUqHJw9yqZl/dHJe2VPWdqjA5vCKKeXTsGevkfWyiDNQBf+VmhdJyFBo3XgfNVkdvO1prmWao%20LzVZBukvBsb2sjRIlU4fXVeiCkK5PlGx/atdrmJwdWAbbbLya4VsqAVW4bCIqy4mIy0e55Q1npZQ%20zeKoH/qczsjN0IbQ0WS2XkRrbQeaKn1sEKVUn9prF4s418OyrU4DKEC+Mh7tgVS95tNOHzq9pi0F%20obTx2i4arlbYWlVK6yRfL5VVz3jts5C6cbL1AYZ9B9tZ7/521r+zknVtoP0+e5Ttb6yQ7AEoAsLS%20FlYkUNtNBdV5He31AKDczdXAPjTjHpByZ0ctVqqhK1taX8nWlpayLV7rQtseGoBrNvkDkJfeSDMs%20rWGURRBZESaHYh2Aukc4G4+ODvQOCs5pRVjALfyIkhHd3EtSujhkQO063t/PeumjWrIbJ7Ronlmu%20rBBrLE/LTvl9uRoSyyfFfOxHO49YT7kDM11T+H9SXyqYlWbBh6U7NeANDzlZY7KKtidFpnkmbX37%20ctBv0vK2aIpakCqDXGPeuN2N0XRD1PXh0JA3er/Y8MXDa7EyvVr6XM0tGkjWmB7/ryBOEgo1zELl%20JsmcbKwRVxtyiMZpMFDV6aq+eUhIFG91WgShycRU291AGLqBSp+zNxVAbjpPtWukTWxKUxRCql0N%20tN2VVhrLtJ9r5/GI21Ra0o4cqTFpqy6muEejfZkQoPJWACs0QN9uVzYGEE/sPMv2lh5m68+fZGsr%20q4DyZiSA9OaZc119ffC/Q1lvD5wwQLm0vAoIownv7GQLiwtQE/vZbtcAdEV3trypVpzuv41z7cpL%20r2czx6eza69cy8YnJ7It3j/QQ3jQi2adGF613MpSY33vAc6emCFPHLor7RhQCTHKjqgNuepERahH%20LwLIRnsIwjQa7voA0Os+2OC+hOMJaPu8djCIGOiHZuHlwHQHhefzHiMRv/tGaZToUx/0i+/Vfdmk%20/A6xhgp+o1B87FLE4hWfK1qbnttwnhqujRK41L1fxovEvfvM0nount1giX8hMC42T317K1xqCaDK%201xwCpYqZnFpabPhm961/v6GwCPOv9g7NwL9ew6sH1VpNt7I8i+lzuHMAKYNZ4ewoN6La8iM1s4Yb%20/winVjtA0XBRlYVN9YKa8WgKuA0+W1yb7+F0n2bWSJMGxSaq/VyzK+tmt73LCi2pzattSxIObQqI%200rIrFC2hJ31Vd2LxWyWZIEoHHGSDB2iqqKBD8MI7z25nS48+z3bXlyObqxdn3WDfcNxmCy4CGjhl%200EETLCwtZ9dv3s5W17cB5P1sbWMN0OW9/tFsZPpUNj59LDs2NZP1jwxnkzPT2cyxqWxkbDgFLADa%20PQPEI/dBWjB3vYDILujeDYgXQNLbC1RwcRdt64oQjZyWEJjR1MUdITNgE7AdPlincfDYCIqhkTGA%20fhgQBXyDmqbt0C8QJmjxfJ7XdtXuY4zUms1kFYQLsEwAnUYwctv4raoWVdZrcOzFKOdjjrka81cg%20bb62EpzmmXyl6akJk3Mu68ChEkcc92m18ZLWXLufqhhXvwTb4oxtUGMAPXpFl7nWZldW71unZTf4%20QA3olt5vqDnWCK98AGpG5fDmSm/Xgt5hiqOY7fJEpCyoyuQcKQRaTeDhjjezTBJQtLEmjpqmUnOq%20y6QB8FTlSD5Gh/tR0V5KdEftWm4NaKmvaYzb7ltc3t64el17VxaDVvLMt/pggdmVkJYqgBxSDPJp%20C9M9h6A+0HX0AA11+Xn25PP3sm2AWL1xGKDsxunW3dOfbW4Q1ra+nu0Bcotoy7fv3MueLSyFxjs8%20Npn1D41kUzMz2cXTp7KxiclsYGQq6xvmdQBxcGSU94dxxvXCF0NL8Lw9EV0ENquPhvQEz8Dvgm4v%20YJn3RTAOkk4uOb6Jc0ZwVGM+dvndLD/oFeB0oGuTazZDq+1DE+/tGUDpRutGi97eOQDsYbVDQ07S%20S45b6C1cgaE5q1GnOLzSIvf1sqZczH0Rq5HmrSxAY1oCpYtFle9VS21W9sbhtdlotVbPHi0rGdUN%201ihyrIiTbrXw2tKMy3u5KTA4XIdJxJLp3ngl13OyjXDjKC3ysJDI71BRZw+3q0Ezc4DJ+akmYHq4%20HcWFKa6w0pdoQpLmrer/NsTJhs8vuOqa2UjPKdZYpeudAk76YNpY9iONQ1EtrNKd0pYojPDKmMT6%20rl2+hRAv6pc07Gvdi8mg4R8rvhXD2OqDFW2oxYVxw3xT5ppWq1sXYxLT2QqMo71ORnFxEiyREFHz%20WbVHoCe0JgGvJxtnJ44AXiv3P8/uvv/bbO3h7ewMSvAJNNjh4ZFsC57280ePsw8++xxQ689eefud%20bPz0pWz59pPs+tP57Nvf/2H2/T/+k2zy2Ew2Mj6ZjQLEPf2El2UDcMMZzru9bBttehtw3N+VcpAm%200NRPg6dWXqyaSBiJ+GOLCKU5PYCLtm/xenzv8N5mfCatAfvkX4I7LPDgCM/azjbXViN0bn9hNbjt%20/j4dfnkGIOnZ3ZInXUPwzVAczjkAnABZrRLuO6c91LbTl0ID0I96Gnk4hEMeTr488iLaXHznH4u1%20WY12LiA8Zqg0NzV7vG6+D2vN+Xovln3aipWvQiYHL16P7A3WUtuacfGE5qZ+9e6datHt3LN+0zR7%20RhVo8/bEBJVHonYUajXzAowSkBaTnwDK1wr7O59rl0wjDqNYnK12+hd4v9ruw0jUDmaUH52uLwuT%20ZNqptYU/vbhhZbFV9ctq/5t35khKptHHGkvLLzBaxYYs3aLtQSqvnUa6Uv0963akI1vhXqsuWJ29%20grHa4WDvfjbZuwsA381u/+5n2dKDu9nZ8aHswqmZbBJgXVhZz3793nvZj3/3YbYCkL4D8F58/Z3s%203EvXsoGTl7LNf/tvs6//8O9nX/ve97NN4oVN+FgzkmITKsBwuIP+AN9d6IX9vDhOt5yrZSvySAKB%20MimOSRuOihWGxeUosm9CSVAJ6b9w9OlsRCPvgZcWNkMzxuG4u7NOO/az5bUsW13cRjOez9bW1rPt%207U3imtHgRwazQTT0keFRsgkH4cBX496SHAc8Z5fvLZ69uzec9e3N2KIA53yV8psp3oKzryogHPOk%200aeLDK8r9n0xZ/UAXY1rK4RJFUpzzbnpGql7o+F1+T1CKLS32DrWjMs3brRnGlEaRwH5UVRGZxpx%20jUwqNTNpJ9U2NNvTadAqd4nQHL8aDHz5pQpQpV/8t7hLdZKPemaD9+oGtnyf2rdKfTvUzPYWQFKM%20Cp91tS0VYV8Xi9msJ43nquDL2mxLeZJKAqDZM8uvd/iEQ1p8q2d0cv+yplWkJecKaACeQ9pnWNjB%20bsQJD+5tZHO3P83uvfeLrGdtIXvlzEw2PToCYA1mT54vZv/mxz/LfvLrd7PxC5ez//yf/RfZO9/7%20YTZ57ny2OzCUTV24mh27cDfb7B3OVtE0F9Y2oBfkkeV7BU8TQJxhNE812zz2vTi6TiZA53PxlcSw%20oWcpHrl4a08tVLC2vmfwGYkh7jbMrXsIeASM5b2D9tjIdon22NwZyrZ3IVoIqesmprmXz2+SPbgx%20v5T19q5k05Mb2fggDsgA/sSs+5z9ARyTUCq9PZMhSHZJIJFTTpqpV+sITM69wooznM/2qZ2bTRg8%20eLncXd0EF2xY7NnK5BZ7PlmGhzG0DOxHr5gUj5ySTdrVLdoKbWtHs2l1TZifDVb0UWBc3ZvNt0JD%20miIQsQzA1c/XtKEewIrxd9FV3svvk2u7lSmoonaO2fVgfLjN9f0/ZLochv6SOEiNOxxilTe6eFw+%20+Z2AR1V4FF2p9iX0iSRh0leuiB+ey8NaY5rzTlqSPyOel3+urY+3G0zWCnKPeL+tduTjVxmqNFgx%20Muxv9Tk1YphTwHgrG4WTHdpezB6+++Ps0Ue/ywYBqvPHAeJjEwBnb/brDz7O/hIQvvl0Ibv8je9m%20/9l/+V9l3/zBH2d9Q+PZrJrmBlrv0EQ2c+GlbJFg4vl1TP5+4oWDVhWMU4nbA7TVmMSK+V4s8BTv%20m14uYliIigjw5r8S9x8p1TH9qU/JVSc7bK8EU7V8NHH45y7okV601YHBY1wFRw1Qj5D1148Dcmcv%20acgry4vZ4tZqtrK9kfXj6BvextmH1r+9Q1sHurKZ86ezoRmiLAYeZ5tGWxglF45DWfQptHyETJSs%20TYkkhgNGq+j3HlbBwa7CoR50islI8FBe1mWFrfb3Yk0UmnWba8ibBxLneyZfP1Vn4uH7dExTNG5o%20403X7j78IoBcu9lz06TqUk1gVmpIwtTGO6vGHK+7JL3X6HMFSFZGu8KhlRTyvB3tTWQVCovNXQ2T%20qm36YQBMgF1svDaeF83Pn5jf3M8X+VOVO9RhYzsge5SVdFTLOo7Y6wAoi+d2xqrnm6qN4cwRq3pl%20frqCTSToAe0Q5xbgNcIa7dtYBYTfze7+7pfZDFzq2RPT2dTYCGBykP3240+yf/mv/h0BYgPZn/2T%20/yb783/6X2Znr13LtpiZufXNbF1nF4DdOzCQTZ88nc0tLAY1MMrntwA313iFFAnrhocX3wGoad1W%202qtZXyzYHLgTnqQ1VtmjpTFIH5fr9VapxkWiu9CW0dT7xrhiEIGxS0jeMNTEcD+WgOFuCKOFuWzu%20KWF7a4vZDiDbrZOPz65vb2dL88+z+ZWlbGRmPOsfHc92pEjQrIcGx6jFMcFAqo1DjeDQ5I0Yh6Kv%20kCZhceyjofeE9pyz/tGNIuop7eWqRZjGogK3eeGkmnXo8EWHSxKq2XrIhzruWRGA1aFuCCMxkm1+%20pcko5Xg3+dwh4CtPXgMQLIRXq83dDNgPvV7emAWA1I1fU2Ata2P1G7zJhq8+P3GuR2D9oRFr3ue4%20S+X64r55yZia+1QjQasvN5UbzeYsf73S/YYmTLqoaFWr+YprS+De5jLLL2M1t7Hmyz3uFI/bVRQ6%20a3cxkLUbr5hNdc5BgGhCLXJ5Obv5659ns5/8LjtPrPCxiaFsgCiHFYD25x+8n/34N59mvcfOZf/r%20//q/zb77F/95Nkho2iKm9/o2ERCAkwBkgsguGuEMYDw0OZX1EHecCv/kURwRdSAgJOdXWpvlkSqs%20voDQnJJICk1xWbm62eGxyHsW2mleOCfnaw96hrJsqJ+QNnhkPHg7SPd1oxeMwrBNfWNZ78hxoJNw%20OiMrWMh9PLR/aCnbXt/I7t+5k/U+uk+f0H7RdqePHc9OnjqLz3EVByZaNNxzP+Dc1TvIOFC5Qz48%20lAgBeDssgj7ubQ9TgdGCfhEpY1ByeZQgOI+sjlE6wKl4wDxVt2DqZ5XxP3pVeMcwJArnZ5uLqCUY%2012o3tWFf5WeUQam8SaITlfmv3TK1n4kupEXT8PqqFlgLpnW8ZIFEJTxrBRxljTjXAw4pz83uUbx+%20OAun6E8SYl/sKy0Yn1Upd1GFrfRbaWhb9be+LYWWmCrqFd7x1OoK2Of3L04gLozaVs8q892tl3De%20lVpZ1NbQdQ7G7c5J2Txt5ynV62ODR18ixyzrZ3NOdgM8c0+y27/6abZw49PsysRwdpkIiJ297Wxu%20bQUQ/k327375u+zSN36Y/eN/8X/Mzrz1nWy5byh7hhlvQkfsR03xSF5AO+bn4OAwwDQYayA5XH3P%20x6a1Vw27rLYt9SQHJn/Lu1afcBNGVnFtzUyUgdjws1SdIn0lB5/ryXoWPZDFBq2ZNBJ+NhrX3d+b%20DY4DnANT2QHacDfRHv39aLrDK9kUdEXPMHHJu8vZ9uYq2YOb1OPYyOafPM76euaz0amdrB8Q7utX%20DzbW2vsqmKSCdCRuB3AOYIUkt2JqUaRih8My6ciRqJWv8jiGKt7RaSkQb8Xv+YrMf7fP1ajxRguz%202O0V4C605IKyqHyoDgt5vcVJH40e19lrZUHcUOHSxElrpwZQ4s8j1n79e4e0uspN67WBov215ldl%200NsAgligdXu5DOjFEwpror5jrbWy+kbkbc39CtUFUie8i6XT+gE1k1gx2fPP1Yb6lNZj2mcV2XKY%20r8+Faf6REEeNNLF4v5jc0kDmLxVrId6pgMQR644L24HJzlbui19dWYsOVWiZ+7Cee1lY7avz2ee/%20/HH27L1fZ1dPHc9eOn0MDW4ve4g2+K9/+qvsJx99mL31p3+R/ZN/8X/IZr72nWx+p5fICDlZj/ER%203lM0bqpdIThrrSatLdV7KOCgNG9VVa2ycCvjVfnFQTQ8rTTo+XuNjJTi6KFa1294A/MHp7Tqnii9%20mRZOlL+XUw7YgaYZHCDRZC/bJfuvG857D02jnxoZZ18ayc7tX8i21p9nywuz2RKFkHZIYlldXQOE%20ic4YWiVLcR0tm2QY6Ii+3hEcln2RjBJp3Wq2ZvvBNncH+eFXIWYKdSuNVFE5w6zA9OX7EtSpil2S%20ammczU706yijzU+UKb6aGSljRhlAvDWPgTNuvuiqG6kIe+JnUYAhmln+cAKQ8hZLtYDTTol3klis%20fCWtuwy61fCq6sDUXl/9qxZMC225CooFwjcG41qQqKJAdS3WSa6KtKjG+xbZNWXtzy7GZBXR4dVm%201PS76ahXGlAHVlG+sFgsRZ+qoF3Ps3aCx7kxG06YNEGlvtcJnQOJz5jWw1bSIQEZ4+Atiw1gbGgD%20EC4NhmMZ7rhk51WaUmsi1pMzhQmZblSZ2yYgXfSy+covv5Ou7mQ8kzbMP5FBtgd3uZONsijG4E6f%20vP/rbOmzD7NrEyPZWUK8erY2s2W03r/6219n//Y3H2Sv/tEfZ/+b/9P/NRvDKXcPkNJB1kcYWrCx%20FU+qTjMeUQjGHACTqW1diDSG5Vjw0ATT4MQMV6Cpbn5NXS52ceW0dz9WXJdPX6ohZB9TPHC6Y+H6%208z1tAS8pVlcSIEEP5Nda3bPHlGkiJogkiDC7bpya/d1oyPC9JqgMj05mx6FhlgDlp0/vZ2vLK9mj%20p0+z6e4xuOot4rMnyUo0TJBsQqkKHrFHVl+3zr4eABtRVwQEBUimikaVdZK8I34VHXTRWFHa9ubv%20BaWhtqy2r0ZdRHbUrbeYozSy8R3gZjx39f4pAi+F3sWr8Xu6DzU7ComQt6n0o4b/jS5VN3/qTekh%20lR7mDcxjAIuPVBZGyc6u12ZjI9Y5DMqtarQhEpjXA2fxd/qZFIYyKtZux0P3rcOj6j3yThfYHcIk%200Ca+CxBOizkJllh6XlfqSN36PzzwlenMxzIfs7THCz6wts8dO70OPbWISCj6k+bafVb7pDTvjQrn%20VCtx1d282MnlKTj0/HxtWV82H+a0mPMxCGCtQ4TyWi1J+fJ8Hmp7/plmrx+ejFqh0GCyDr8U854i%20DNSweqAgRtBu16El1IhPA0IXR8mGwzQ/AIh/+fFH2f/0s59mJ155LfvH/7t/kY1euZTNrW5lfTsA%201CC1JNyixKKlcSnFv/trUXEspqVYj/m6zwHO8La0VQuhGH9Eu8tFc4pyldUZT+Mf2yG0b59X7m5q%20U1oLJQdgrPl09of7LkKbWUgJlsnEy0+jTveEU1ZbhspwzBKtQIW4fcLlAL+BwV4omFG44r5snaiQ%205Y3tbGVlIxvc2sim9mcis48IPD4L1SFto7zXSch/u2jG8uVFAnWxFxUgUj0p9TpfbzF+fuUZibkQ%20KZSTLoss8blAQfuUg25atdXVlCK0vbVWRuLhi0iUymA6aiHIEigXgNxCMy4PfPp89StX3SsNKTSI%20Qg6lCT8MlrVQVHvP8ntVRGwIwjXPLQFy5RZJN0hfZT2h6EEjza4WNGt6mzeiDBC1o1FtQ74V4u1c%20eai0o3ZEG/zVCCUq3WiCZjmO1ba35ZNqL2goIRq9mIN1KXTw6CeVtUrbX9JAagy+/PUihCqhRyz1%209FUemHK70phUgbr4XPNWNQfiBgPZ4TCmLiWXkaqrHKYhbF1zz7Jn7/8mG11fzU4R8dC1uZ1tAAi/%20+eiT7L//259kY5cuZ//i//x/ya5+67vZLICzC4AOEkFg9lpPnH1XgLElMnMu2kcV263Y3/k6rZ6o%20U4B3sd5r57RgSlPAhe9V0TbEc+Xy2rEp7lotnVnssfR5w87qV0/+TkBgRRELYCz4ZqkB74zzDwdl%20RoafiSrbRIlsoykPkO49cQrhNrSOxozWPDJCxTm5ZTMFpSc8GZB2Wo+CB+wRRmd2o9XmIpAkElWs%20yQylEUkstrNewDuQIfmrwstbxhrT0lG7dz4SiFaUsdrlmzPLuSCvrKGy09DqqHLYeeNoXW/TY5AC%20SGqXbR0W1+6PYsvUdE5aow7ESzNUseRLN67Raup2TUUJjbZVd0kC/Hy/xv1zDaAU4nZUCcRGTqim%20fGi9ZMiTQ6paSXlYEvg0EiYd7fEyHuW7IBlDVfO87HhJ9E9DdG3y2DLo1V5yuO3FAuv0/i5oQKp0%20w5yQyB+Y2hB3rdn3xVwWfa1/7hFtz/dUo043siSq66sBXDdH8NJWS2MjR+xZdWpZIxbN2VrLZqEm%20th8/yE7w6s7icrZFrPCt57PZf/dXP8rusan/2//qn2df+/6fZGsAxT7gI3BQ3YFSldIciR+OhIt8%203iNdOAChVgmokhMlrdfPxTAVY1dYQTngxDhxTWIRip2cT0Szv9M+ixaVahdXZyMgt2boY3bj/uXa%20hz4XIK2czycvKxDLkav4u2YsYN9PMaPhbGL6OAkja9na6kb27Nks1xhtkcbGo6p2898Tj27jeJ2s%20xB2iUKQ++vpIJiFVO7TjGI9UD6Pc1PQ5/80pSa+KSxKFk8a4oGVy5aROKQ2N2NFRiOaLOnRx+lkk%202Uhh+R+BeDHwbcUZl0e02Ev5FomFl76KgS/zvkka1wDbIYCtvtCMpqj/fAKb2s9V/j5q09QBVOXS%20/Jd6YXNI+NjLajdzAZAmsqAm0m9VwChDR8XCrBmvmvXa8I8aQDzUv2Imyh8tALP1vStXFAKtxUfS%20wrLPbYJxfCCZsGkz8qAQKDU7v9oM57YyfvlCjx9H9akQTflKzFHVH4UGVz86dThRXb8xl/V9ixdb%20fgXPGBXMEudIoFk2vL9FvYm72aP33s/G5hagHJIGt7bVn/3tRzezG8ub2Tf/2T/L3viTPweIyTZD%20Y+OUpEjoUPPqyzMvQj7lQipAOCFGPg85D1zGlEPT4wuHAyGLfZNqOxTruLyfy91uEEipshGXJ4Cq%20cwvVjdnhQUx73v2cSm9W9xfAtyd3nDjaPjIVewn9292aB4wJg6Pc55MnT7LZZ3MUxqcy3ZggO8Ab%20Ogm5HlpjYIDPC7ZR91mn3B7aJ9Edhr8FPSAHnPe5hpaobbYrMheH+XqSpkhrMilhjl3qmzVHBNuk%20iefqBhqw70Z0ibOfD8M+9EwUS7Kov5pxq9CkNM5pFaR7pAcX4TNpldZqf7Vaa6PtUN40dR2vA9ni%203abgm7evZlFVNOMyYFf3W/2uaqS5HlKAC8Aufla6lU9C3fvl/dxIS+1EW65eWw8K1R1Xv8w704yb%20z8dhBMo3deFgO3zBoVdckomhS2ZhpdV5dyr4Hssrbe48+zaZzvkHYo79s4b7jBWa6yklzKw4tXxm%20aR3Eljy8FsoEVSdzc2gt8UJyVZHmjLPzYIkMuw8/zGY//zzrWyPTbOZENjQ2kf3s09vZ335yI7v8%20xneyf/TP/7fZyWuvZutwErvEZ+1yg24P7ZSOsHRwmPWAU+ClEsYBkVvNQTmcabERYl/mIizt1kKQ%20FXiRv1mzXtKwpn/y0C//DDdhIn5TmFw+NzV9zgVEmpfKVMUlh0i/XKCW5USicxKWpSkTnP1FrdKi%20Qf0J4E1xlh7oJpqCdO/R0T7C3vazxfn5bH1jMxtZX8vGpkgSGYJvBuR6SSfP3ZzcCl46AiEsMGSc%20M1l+uWIQ986dbPlOPrQ4AoxD6fSOOQDHHRQUKS08nwBeNOMxtxjy4ZQjD0HNswT1nnye4sxWJrh7%20l7hohHTLOONi4ItJTqOc76LkGUvD3gREayau9EcrIVBovwUvUwu2tXcta8qHS9ila5M8qS7B8nX1%20925MW6SFUul+Wpv5LYv7pmWW/ir9HlpDufM1TWk2RJXXcwzKO9Li8sqD0iIvwdORH0yzWNPKI69P%20LF+hKdV/rnZZlzd+lVjJR0jNqgCZ/IllMEkvFfevFznVJhbvVLGh1Kba6ak4lopPV4DoiB63Wq/p%20o3kqMR3qZX+O4pTaWgQsHj3Ihtls0xwYeurs+ezB86XsF59+lu3Dgf6D//qfZ9e++V0y67qyDYrC%20e35dCtFygaUNnBAxFcUp5infdfFKhM/F/FXHpzIe/JIcSkU0Tj6eVT4iWh5j7j9ll095PJoMfSpN%20md/AUIZiriqRHzWjnN6vuVeO4PVWa/55bQxPL9napr4bmSMDw9NoyEOEu3EO4CTHUU0d53DVTQoR%20rRCr7aGtBM6hRfehCfdIf/jEAPO0YQ1Y0NlnOxKMeaKJmqz8rUpAUdC+En+SOsfr3SSX9EhBxU4p%20aAoBWlRVeBr3Ha7bCgakoUlaeeKckzsxYN0m6XiEG7ckqRElR35VzNLoFtNdc330pvJ1FPfabDG3%20WuSHKYm0qIrP1X/esJ52vurvm9ZruXN1jid7Xyy6YslVLO00NpohlU1RAsJ4rfTZdtrXeB+UuL5m%20N4mxSW+2Gtv6W7QzcpGdFcst1dKKr7qNXQiBot8FSKT7p3+TVhFbhe+CXaxeUQB0aBXF4IWGEbCR%20N71kGhcKQs2CLGtqxeY7PHBJIaun26ptbX++UsWGfjSjcdo4RUGFp09nsyn4yqnTZ7PTkzPZOij9%20k88+ym6sLWfvUGvinX/052ST9VPhbCWKrpvGoNe+Er3gfDJO1n2wyltBvESxHPrs8/Yq0lpQqc5i%20kcjQE7RGif4RfIpOxdItrauSnyWH6MpYF/NWszZL16eYapdDuns5DSTRDWnqysslOcRL3+mDsU50%20cNlSY5W7+4maMKsO5sHIiiGL01PXYgON2GiLPQvpQw8NDYyTBANF0Q8/LFGEg2zP9HDuM0Sm4wG8%20sfxx0lR5kHWchcRtwgi5Zz+1PWKkLN6fnxjs+iOHMFkrcEg9lDAti75ixBNlkToQa1unogWLgppK%20zzRyxPMDxRqLGW1vrxI/jSAh8aWlZlzd2NUpqCiYgezp6yjN+EWA+EXuV79pDt2jCdo014SLvtWs%203Eq2UsN+1VgI+eeL9VVqYCemcAVnYpzbhIZaOdnmh1pflurepgCeIkSpnj/eM0nBzZc3NpUCTxW2%20dLbkWy1/v9CsCnAuNPRCohS7M620OC4+frPEZ+IbA0Zdi3zXxgLkYJ30o3RR8W98NiFDhAtW4ufz%2060qKdWy8NgY+oJJ/hthkI3j4d8i0W7pxMxvG2TQDmJDvm31491b2i1ufZZPXLmff/y/+UTZx9mS2%20uEmxeArkRN8Y3ygoVIAt4J3MZLQpxm7XyINIUPCU5nQOXIjHQrN0OEtrpOhxVYSleUm9rAKkEQ2O%20R15hM42TY1oZUG9caLX54HhBnPwRs1EZ43hmRDTk66lQT+NejnmtkKygtG+UNO09+BrBtI9aFF2D%20xCIrUOTjuWZs6hiJIKvZvQcPoXb2s3GiK/p6h6iXPJYNAJbhasPK6KUdJpNsMcZbUBx+dlcHqR2z%204YDjHnO1uclxUI5xjAuOQO65TzGitNToC3O6w3UDA4PZzAwFkJgr17lxzF2RyJJy/PogtIcA7D3a%20vQp9sk1sufWXJZXUkPcBZnyy0SaF7y7FofZ216LUaUvOuDY3vbrBCm2lUFpa0RSNaIbDn0mbuFgI%20+VQeAqDqYqtuknSvqsaUzJDqjioALRe6xa0PPav6zOqKrm1n6aN1GmERmVK/cSt/lzdJG5u7cVtq%20mt7wj3heB5xuWnCxg468uQtOLSv02vhZLT6e5ix5jg0z2jZ9l8XrfQ0H6oO060Ot6TGsKOke6bsC%20gvlcskmSWV0Fz9g4wQkJxgWk5gpVgHtqt5d4EOeevF0Ab5r/RCflwFssgDjZIhcaUdS83PU6RIu+%201aBzw3EKNpENhg+JKpIb2ezNm9nGg8fZMV4bZGwWF5ey3334Xra0vZ792Z/8IHvtjddoGxwmG3Fc%20sPFgT7tqqJYCzVoUq0tEDhDixVHOg0ND2RhHJvWQNuymjlhXTPgozKMBbLMbTmHe9zRJsTaCUCks%20k4pQShxozHAgsZfnN8wpyYoAdtTll71YrVQ4ds5K2nuxHSszqYaeP7M63ClZOd0oB+P4LTlDPWXa%20KIketFKfspeX2hxASAmMA8Pj2cbCArUrTmb9eMb6Gfx9xm8DcDW9ehAOuQstd49g7Qezj6AyKNTE%208VIDvNfN/XdJtTY4eY/xHEBgdodmzD02PSm7iidqsU+fPUG7Hs6OU8BIC3x7d4N28ZkuanBIUdBk%20mCbC8NTqKeYfXHCyIFMUhTTUFoLXg1+ZAxySw3z3jZOfCfC3oRnnsrVG4yteK0u4sqe1sSYR81tv%200tYt62ag3kpTrt0srTdOAR7lxx8G0drGFYAfvS8Ut0NaSAPttdjI5Q1fs/kb7u3qixVcae9Dhd5T%20WeBFY+sf097tkpabf9bfxQwX2w6Lqp8aA9a0TcIvaZseHb+9uZatrK5Slcu01S7OX5vOJiemsPKS%207hEmm1lN+Y71FR0bsbdjfPPNGWCa+LkIL3JRh4Zt9pbaYfJzu3GMyQ2wUeMorbMYPndKvJY2yuY6%209c/4/AAA10guxpWViW5PMw6xwCbtBeR3cdyt3n+QDZDmPIVZPcgY3b51K/vo1ufZsZdeyt75wbez%20cbLwVqn1aw2FIWr49qn5MqbrnI6xBZh7xNK92w+yJ0+fY8puZKdPn8le/fqbVDM7FgACctCnZHEU%2067nkf8uHtgC4FBubtNYUu5zYzTTOhdKqbLM2cAiWmI9c0FUAMyed8sQNbxezgwA2/S0cjQUK5wOb%20ln96UsL4wuOYXq+iSDrQIOYon/NosPIjr58clAr0ge3r6xvITpw8lS1z/JR3nJyawh9mHQsiUdBs%20rZG8vwNoksm4Tir17OyzrJ8a0IOT/WiwFsVHiNHZbrj9HsZQZcFoCx1w+7s7zMNatDqOnKLhe1vE%20LWPdUAg0Snbu8nd3n0ki9p3nAbxLSyt8L8cZggMcgdVPTepIMIl1S5iiJ6TIWdMnKzODxVAvrt9I%20h25zR+absbi80DQLSVu/z+v/Ln+ueK/GnAqgrn6qtaadJq2qJx1uQdN71HW5XZqi2JzpZ9LUyl/F%20n/VDWtG6ysDdwbDXj1NplEoLuQKXSYOsaVl5wVeQvSxJi9mtG8RCp4mo1nhP7W0Hru7+/TtovhvZ%20xYvniQ4YjQXscwXFRcofPuWIoAU0loX5xcR5Xr6STaBV9MKPpi9r0OaaFX8VIUahwNor7lN42tPf%206XB3NUA1MI33XgBuCw1oA8DrdSOx0VRx5QjNmIpZ4sNyj7tsLp+nNqI2ND83F8XbB+ERg+6om48C%2014u2Hl5d9a+ksQo6AY3o+e3b2ebjR9kpNuIom3lx4Xn22w/fpQD8TvZnf/4n2VvffTvr4my7gzVM%20WeouzD2apyA7v7PBl+fms1XSfnVMrS5SpH1zL5tHqx7s2c0W56Y5gmkbjZBQLmKVU3mZBG5F5bQC%20C3O1NdZIAEFAWBIYA/KWxuCiRSaT3Hhej1ZKcjAvhhl/JyxN66Z+x6kpK9zkW724hwiS4FZD4Aq+%203jA+mrczadHF4guBoPaoPyBP1gh5ynyp/YcfxvUcmyBERPo917CnJicjjO3Ro4fZ9DgF+Rnrbuop%20x1l+IfC7syHmuWeVeSBJ5CRnAx6fngmKJ3IC9xDmNL3PeELuv0coojWV+/s5TZsMSF/rBbjleE9w%20mvYIwpt4jXC47XOiiVxyxiktYeHwe1e2yhzOZhtbuGS7UT56iOrg3iFMjPLAudjf73w4NkRQJGMo%20lIwjissnTbeqyVYpijSQadYirCMH0QqoVbX7Q2u4Hc3XDxXXpZ+51l0ymaqPyEGxMLnis3nz6sGv%202HEtwLgeTA+DdX6DivDIF6kpkA2Em0CTtILDCHw4+uPwNcmoTwu4/G5ak6kRlVvnilBhKVQXfpRp%20SXMa/xpUnwNe3MNC3WmRFCmaImR8Xg2WDTdIcfA+TMG7Dx9ln3FOmwVZxga7sqnhl2JDuB7WAJf5%20Jw+zB7duZBtodjsewMa4P+YoocmRoWwEAHJxH3gUO95pnRnB2/pfFHdJc1e4mGJL2778DbU7Tx1O%20ivNO9ogDOR88fJgdO34iO3vhAiY81YJx0HhKhSJkD61cbk+e1fhOjx1Sc9/aWA8t3ceLHdWk2LRk%2003OL5ev6q4q3eLmYiHAq5n8yeFIUvaTqLt+9k/VjFRxHAKmt3aIc5LO1pWzm7KnsFAJsj/Cs2Sf3%20s/tPnmVPZ58yPvcBxk3M6e1sG41sCwGzzYYeA3SPEQ63QxbfwpM72Xu/XMumz53Lrlx7LZsGZOL4%20z5w098iimNdoT07TyS/nnGW0Tc2d/iqYjG/d4nDTNU4HcXUMj4xjhlNPmftRtydK7qSdx92iWL3r%20LNEbrhGFnJSAdNQuYyrwOWgRgmY6tEBqFEfOLSVaRA2xCsbWHVZ4Crw6hcPioQO7rhsEci/rSq7c%20GhYh7Gyp95XOYk26fqanp7Lnz55mDx89ys6dOpVNcPjqppos97Wa3S4A2w1Inz59OjtOKU55XQ8k%206ae4UB/rZW+HdRiCAFqBtbOPcOhjkE6dPJamOVKqadckx0QBrH38vYNF00tajnVHeriZFIRtG+fc%20wv2pfiwZBEnPBoBttASatXRGPieDxkKrIKhwcDire64fuslUl2LFNfxZ3fw5GJR2fXVrJylYs4G8%20byBQrY52FBgnp0++GSoPLpnIlU1QoH+MVN7uun4Un6/BzVyIFD0tPSOtuaKtBcA1AMY0O6WxyjWA%20I8YxcaTtfTWiJqubvYoBxQ0P4TsXV0sDpk2p6Pe64Ht1uPBHmKxaTy5sHRZuQDSzLbzKPSzEQRZx%20PFfaIQ6N3A9+a3V5Ibtz45NsfWkuNtDNDz/KRtFQz184HwtsgTCuZ/fuZCuzTwIEffwO/PE8QLM4%20PZmd4nuQIH0ttwHAMIFxGpvkpEqVvvKDG0qgyFZlw+tE2RTsqAf87PlcduPzm7EJZ47rVDnITp49%20S2WvAVoM4Nop+tarFkTbk2YtzaKJm/724f4sk2yVZZa/n1pXu76qfxXaYgpbcqPuzT7PDoiiOMEA%20T8NNPlx4kt15ci/bQ16NEAt7Hapi7n/4/2Sr8JKLmM9LWBIe3HkAn7gPTbG7mXhMTe1ezVrojB5O%20W75//2G28+BWdo6C7Mcpu3kc2kLIjHPqpG6UWWq3MaMp4iU5jhREcKX2G811bWU5e/L4YTYPgK1g%20Vhtd0IvJf/LMmezCxSsUqJ+KQ0O3pVvkQnMqKCIyouNy7QnkD1hPgroOSFOgxd0IkZZTyumrYugK%20IE9iMseTGHmLwRvNoPlO+xAQCsxBBEOEgXFPiujk6zYuqUxYD4J9AsvMROhtxu0RFlnf+XMIllH6%20BQizllawKp4/Wwqufah/NJtiDnxvCyE52I8WzD320JC3Y21xEgnrK3h1gZeHh59PQcbvgrQnpxzs%20wxcLxjHWnqSiMME3AOVwbAoBQr82tpYTBBohQ02Oot27297DKTN5xOOhuil2NMJcmxt9xFdFirnJ%20S8pCFQQqcjgBqYHqORBXONYGXoUAAb7LXvd0z8OgWtVE7EFaDOln/uycCwzIs40BMOn3EnzFAB/S%20evO+J7AsPbvSlnoYdeFXB6xyv/DypzcKgVNkNTVH4tq+FiNZno5CzFWal8uTquZWNKYqoMIEir4Y%20DpUDUMyfgLYFX7oWW2CQDCUdGS46tavVlTlohfkA4vPnznJEPFqmoUFsuj6Asxdu7DGHZj66d9sU%20sWyPxX/v+hKVBAgb4o6agytkRR0QqjOmaUd40QD3kHObnjmeXTp3KpsBWMbGxtEwBsI0TLpO+gqB%20oWbk+W0xh2lOwPwwgzUfN+ADN9n8i3NPsxvE6j5m88mxbmys0A80HjpyFs1xGHOyX64P7ScnItNq%20seQixWUmxsfigW700Mbq94ByJNZ7ef5zIe3IVtZHrhmzqXpJKOhhXLagJwxnO4fWNUhb5xeeZo/m%20H6P+MN6jQ4S7PclucQ6c9Yn3FTzei+v0rB9gnm8R5qbAcIzWOBPv+Tw0x/JStrT8NJtkHA8Ih3p4%2070Y2gZY3xQnRvRzqGQkgChrBgxtGPht9FZQFEfu9BQg/ZtxuIgzu3bkFBbIQjkFphX5M+1k07/mn%20j7OLL72SHaNSWt8ANTQA2IjW1ckZmwvhHFEEOgGlNhIXXdEeBS0tnxD4UlF+tAS8JmCEAExKwr5/%20myFHrO2efC8g+ZiMxWHOxhsfOR+TIJfeL7AXSoSfFSCDajByYZcIhynmdJw1cT17+PBx9uprLwcN%20NfeUE0XmlqDM1rOVtVnaNpAdR3DvY5ksLJERubWCL0MFxRoXWmooCZxIosa+j7Zrll4/PHE/h8Ym%204bMTtTK2Nhd59nqifsjeMJNuA2tLa2YYC3BsWAfgSjjx9g2T25anRgFgzS8uIWz55MQE+4D9MUQx%20pEEKQvXKzTT9crHmMXFhQhpWQyPTWa058DisrExNlTjaXaeK5i0mk1pPCjwSeKsacg1YlR6eTOS0%20KXNcz4EvB0AntQ4bY5qd1xxoE8jnGFyPvIdxvgGq5sBQIxTyhxZqaw6IjcatkeZfBZvajV22BBLu%201DUwECqZfkWr0nX1AqJRmwvgYMGjbSntd9BOV+AunwIWAtsYGqrAq1faza/DwgW1ziOH0MQE5EEW%20i5vaMKKnc7Nwm7fQkPfQhnmdeE4PfRyTvkCrmRmZzKbZBJfOHCcragNAHA4Tsp/7D3N8jkXQ5Xb7%20jdU0XCkmOc1V6mVqc8Eq5soTcbTq5iAyGvY2G7YL7WUPB+GBDhXAb5fvNTeWGiXreYdaEGcvXMpO%20YJa67bcw/X2Ya1guuZeNOI49qZkdWpo/w3NUfBfjmQNQ/FnVnQOIo8G5yR0psICe0SOLHCM09zyb%20dJOhhW5uL2fPAcFNxrB/bJrxHGQeNG0jHyxXHrw3qbqhzfIdRKIRFURREAVg+UgtgV7AYWIEc/dg%20K/v843eD7357coL6vpOhEWuKJ44130iGXGFyb1OcaPbZw+zuzc85QeMmDsEHRGhwP57qXGhJGBkw%20B8DMQ5k85zikr7/9TUD5VWoOj6WIciMhuK1HQsEQx36LcDrHwZNGEew6cgdYC90RjpcsnrILsNCG%20ox5zFIR33DyrTkHGHB9sZ+vLz7MNrK9j8L/9vLbFugIOaaPaqdiSMZ8419aXcXqyruRwsXJcz+OA%2029vvfCO7e+duSPVuKI7Z58+DDhAEnW/Xeh/Ci5UUc6ouurcN1wyfLK+74brSokI4eiafPpAtBBbx%20QaEoOD/raO7bnN8HhmbDCLGBQX0XHIW1swz4P4r2TE0DtHD89k9evss55/QT+ebubC2EnJ7S7l0E%20NmVAR0nl7h0jPu/QV75JPNjPhbPDRt7npnIvqulDOGE0DwRYvZBqLm6ELQZE7rCLOL9Y+MV/JVBs%20TlO4FdNCSltCRFYDTlI1XkzVOtJXBbfyBVF6VsVpUK/UuKCKe1d+y4VKBRnyjVhVefNNmnPo+eMr%20xINNyrnies24Mq4FlpfGoRIYnwdyNobXEgjk/U3X5QiWg3KyMPJmhsbhMKUi5H7Pzj7OHrAJN9iU%20S5w9tsAZYwaZK6n7mauRsWFMqykW8xjeZbhJNsPW0mw2jCZ8Hi3TDbC5gYeYRIXzJ6ayq+dOhOYy%20hhnZD7j6c3JSsGVhcj81aZ06PZ7RxnpJXvmk2STLKbU1+pKvtSR8k6WUoidy2cTvvfKFaE87mIf7%20APDmyny2w2bs0qx10/CsAQDBzbv0/Fl2+7omq2bkAUJgNNZprxZAZFcZ28lWBLB70dx7+ZzhU12R%20PVZ8F4OZC/aiLZV5dM4dZ/lTaQA2FRrTztLzbI1wtr0HD0h9XskOxgZxtu1kS1giJmZ4Xl2EPDEP%20PXjajZ9VaxTUUqhz4s77GbeNtS2cRQPZ+fMXmDf6zP1MDtkFLNbccIRnLc8+zG5xbNPYzGmiCrAG%20xieTnJavdWDRYOfmn2affvx+dvv29WyRsdkkVG4TIJHLjMpmaG7bPUR0AFKSyYZdPX96kN38lAgQ%20IjzOXXoFrRmTPz/Oyft7UrOnSyeNOTlV+/lsCANLTYaThFGJCBa3caJwUh2bREskHjtx+WqVyp9B%20I3MY12mA7ORxBQw0CZpyF+fn+frgQC/A159tz61lt27cCMvna1/7WnYMgT8L5aJT1vV65szJwKlH%200Fc6k0+cOBU5cNa2GJETj3AzaQgsJ9q5TQ2MYU64HhnGkgNg8ZsGlbOxwphbAhWLB8SOhI1d1tsm%2082HbRjgqa9g1RNtWNhaz3Y0lOOA1MBPAXoZT5nnj0CV91K3eZc60THu5h0dshWBDABrGuLPRRU1r%201mNPhBfVflWyQ9Ck1mnUI/mlxWchjU7T0fPnzsSgxMDjhNHEGZ9QtU8xj37rOCnCbNKmq8JNvSOr%20RoHNN2e5RYVSXaM3ltArNOmcuUhAngNqXb9CoymDeQNFtK6p+R2K+Mjcq+taKxxnEbbSHEoDdCqo%20c2ioc2Ctvh4w0KRdSc8oNN7iMwnAQq/M21QoeZpUi2izH1FD9x6maTiH0HCNhtgk3MeIhRFAVQ5t%20jEXYP86x6azGvgk5XY+tIaOJgixjpPGeAGyvnjkb2sEA16gRGM2QuwBDyrvItZx6NXuhNfSQ63V2%20PTkEuMtCAy9/2fIyXxt/x+eMgGChYvYZkO8pD5v8votW1AeATqI5neIk5U20eWNL3c098J578K6P%20798Oh84cdMCbb71NxMfFOJk4ggVwlKwhWGbRDgfYKBOeHeeZcpWCFeVFUp6X1G5BZVcNySL7EUFg%20rQGzrLayZaqyzVOzeAw+XceOx9NvUHv3+cpCtsEmHmJMPCpoO8LAiIhgIwcA6gyzehcAGbo443jh%20zKns9ddfCwfW7Vu30QBtPBllaMtu6nFpFjb+84e3eMZiNojgHBu6AkCNhAi2zu8m83zvzo3sg/d+%20mz0nxrZbjz/P7oaqOsA/sBoO1u2wfqaIMEhef1KPoUzv3vo05nagn/P5jkEX8Ho/13UzVjvwyDr4%20bLV972I9RFwy864ADpIkF6rJaZf45TT1mvr0M5xiuZNRQA9nKpl1jMluaNfSHXQRR+bONlrtbk+M%20YXcXQowbLeEv+PzTT9Dud7OrV6/xOdxp0FXGZRuD/PD+/eze/XvZDEB9/NhUhGGOjqKFjgDm0kH8%20J0+utrwVCRrrrJGRbJjP7mN57AGsi3P3OCB2gLRrAJWcnR0E1wa0Bm+GMO4BdFfndYCuQPGtZBuM%20aW+0cT/bpADU+MQEViSfZZp3dnUoMgY8rx8rYpd9ssE87KDgPoEuWjMiaGXxSWXFFRtdLk9P+McU%20vX7MuVN6Srd30KrgFB8/HGKiDCeRhtBL2EfICMeFw2X1ohXtUK5Oj/XExIns2Al4J3izVGKv0DKa%20gLLaQSBhgpyKsVryvDaGvByc4vO5iRabJueNq5iVULHQbgpNulDNqqp2UsniuV6cpHvxXdAh6ba5%20Keblcd8idbdAU1G7BD1l0C7uWY9MNVBVBf30gDSOCXv1KlcpjIIjjz0hB8ovG3jzP/no/eyD3/06%20W114xianpCPm0CBaoqcInzhxLJsGjKanp4NHmz42nR0jVGjUClgs7iE0syG1XT6j51kwTWRT1QET%20gBvj5V5M/Q0tL35N/4UIkYMzNlnPeySE+A3goqUuwTFv89PPaxaqCc6h5awBtMsc6f4cU3MNMA6O%20lzWnVuG62saMNCriwHjn7kE2JBGgrNX15Y245xogdaBGAwBNsSm72Ghqp8vUi5gnO273eXdmaNSx%204+eilcnplaIGYinmmnr8oRIYY5uci6lwPCAs/aATBu2pl43Vi4ZzYnSQUpmk76LRr0IHrKIZ96Fl%20TiL0Bvn2dA+c6GArOiWvu0k3LfNojDF9Hx8by779zbcY/+Hs+vXrwSXrIPLvMUzxYRIdeum/Wbm9%20RABsrcwSwdKXTUG9TPacDCA+YDznUKKePrid7a6vhNWwA1hsIIwdEx2xS4yDPOsUWqga3fPnvEef%20B4fG4tux1vI5e24uO3XmfHYcDVPBpxYruO6htSqdhwgp1MmXSrqnaJWIdDAVmEv77KcCB4EV6wA6%20IqgKE2+cS+x9Y4ZVHtZwdj65P5vtHBsn8gbBwDFVOj4HURRu3rrO3C1lF8+fzy6fPZ598rtfZL/9%20+U+z06zbMayGOeihjRVCFRnbm6ScD6JonCe6QvwZ5hkD0GSjMAGbWPFyu4lXx0LQUdpHDWnX2xJO%20zeU5XiNrcqwvOzEzwhqhuD1/6yjYxoBYXZeWZb7hkR3TVSy1Le43aAo25TnV9reZS0+pNja5C0Hi%20+Dg2Okv3cmFgcaAd+OdN1nCkQzuZxVcR3K8HcW1nJbt/+9PsBumc0zMzbFBmnmLNTwkjuncLPT6X%20hKgITH4/ZupMaMhqLy7sN77+HTb5ZNaDBp3ChhJiVWCqUAHL/GcOxFXM8oWq081LK+/VaY9JnymA%20WVA+7Kwrgn6K/oYWkpvEZQwsh4MljTNESUVExEZN2zXhe/EdG7geXflcvRTJwSu0hjDd+Vlo2vmT%20qt1LH644A0v9LoLni1hMwUPN09AluaNl6IjnhJm5Ec+fnIFOGMgunjlHvCSOH2gJY4Qnkd5mFQ2x%20cPtZTENIbbPl7DcRpPHTvicQTtlEkZmUaz4Gt++g0flatJGfAqIcmsVcDMiPMB4dcBRUXyTueGF+%20IT6zhVa2ScroHO1cQ/iHs5DPrpIs8hTN1vhhN46asfcOzlAT3NoEcHzpqHY93H2A1AQ88flsigy1%20/mPHsnU+swXA3fjkQ8zuRxEpMDQyjFMRHzhA9RTNapNnnSMi4cTxUxF+lJZoLoRzuV2ho3yuQkZn%20mFqxtK7OMb77pEl4bYINv4nWLr3jKR67gO5sCBUSP84dA8yOZ10AbRdce8Q4yNxgXRgdsoNgMSph%20mWSRXf7+iBOi/ayRLVeuXMlGMHVHqER2jLlTk99g8+qc3GQcV5eJTaZdS0aqAO7DI1MAynr0/THx%204LrgNKfXtpk9OHdBVDpCs//ShTPZWWJvP//selgLPYDvwOAK9wCgzUxDeC4xZ7ZtCmtkWD8BfTcT%20bgPL2bbwyNAA5GaNoNkFhHqkHmjTOhrjKhrrFNbWAGGNWj0KoURfpXHso21aMY8J/1tF+KrpP+P3%20dSiGBWoWT2AVjA6cznqI6731yfvZNrzyKy+/nH337TejjKZWyQwU2/NH+DsW51jb04D16RBq02MU%20FYJv39tcQbFcQGnUAuhB8OCo5rljONsExdX52WzTY5yGuwF3uF2E+zSHxcpVG5fuetpHk02xz1iM%208MQqKcBdtppH5oyh4Fjs3nW8oS/DxBGUArn0XpSaPqSnAt29YTSKPrVeBJ4CYsQYfBdRDRjLbUWd%20zR04q75sZgoJyaDtwrFptm6hAWySzpliPyWhQXtoiU25LxsXp9geZKvPH0Ika0JORVnAxBYVvumk%20SQWchcRIXzlTmG/94pqyhluEEaWdEp/LsazgmtM904aqx8BaNTWBd+XZ8nVqPiVNuUJFJHlfidJI%204Js3QJQq+lKB7GJEi7tXe1j0syI4ythdvVXl1RAy/FOY8hVaIH9+An/azsK36pNeZ7N69onTnGDz%20fuedt7Kx778FGE+zYEezSeJWh+HNImIhtH6dFAbdC6Q4UADPVFtC54ZFVnRA5L4DQGwRB9UyCQl+%20zvf8fX4BDhdwKAB5HRBdxvsvqAqk3mcXjcAU6dUVC4PDgQJUAvE2r+tg85kpeUCtqqh7odM4Bdz7%20lZIzHPfuaIdtjmQPtKpFQEyNfBgP+tj4RIQrOXBPybp6dPdm9uzJg2wU096MuyV414dYfKNwrO98%204xspRjTki1RAqvtQuBQLJUIASgV7aIOFZzBVfYbfXQiS3fVFHHjw8LzXi5Y5THacGuIC7dzACXdi%20ajIbhpvflqrAIaXDZoLwtC2uv//gXhQCGkRxcUO7gX+DNeM4XL32Mu0chi7QEWr0C0Bsdh5anHb8%20xhYbf2U9hN3jh/DjAPSJU/j5DZmjeP0iVoU1ERyOfjoxBv+6DniBRJjwJ7NrAP0or91HkMifa2Lv%20sb/X8xRnfUL7aI6u/3GA7VIvMeUW7UHD3d5cQutzARrlgpbH0M1QM8Lknn32/Aqa9+fvvwvIPsi+%20+a1vZpegizYQBCuA86aaI40aQUAu4Xz9d//mX2c71I84B4huIbTv3r4TgB2q9fmTOLkOsq+/9grO%20243sAZy8oPvShbPZFA7NAcawB3zaAaSfzT9j7A+yK9T8kILT+XkfHv/mrZvZPUIuL6CAvPnmm1k3%20dMPeHtbf1HD4Itb5e2SkFzpuDIAEnLEcFmYXmV8VHGkGrAosDGOXBwDWER1+WkmM+wlYgVCEYk8l%20ms3DVnfYLzrFtf70lkZcO5LLJJftLTA2/G9kBEIFyTL0wlnnm4hJQJPwpr08oMegZoPrUcN3D4j7%206zaND1WdTnfzHZETDhY2W4/nUMGz6GfxFNx9Hr4AR7XJAh3uP59R/S60pR3zLLl/isXI/6vQEBUf%20OpekcKECnAu0S1vysPaZqqVVdO7KNRUtp4C2CNCvIGeFibAJyZGQC4dcA0rZXrnpZaZRyhMNe7Vw%202qWn5s+ukL3FM4o25dpWoU8Xb4ctn8juSJkMUExURypek/PB+WuJsZSLzy0AASLnYCN5wQ0HJzky%20hFcYh9QYm+fkxMXs1CRH1OioYiGvwGc+x6G3jC/g4cMHnCcGRRBgaIiTBVJwRPHtWtiVcuJbXi00%20Hl6fR6udXwD48vlRylsHILVbQEuRNYKwi9PQHbnpjXVMc3arzzGcSipiQ966nIgT48/6A2SsRRAJ%20A4XETcOeO/nQpmIdMD4xRgC6WWxoV2NEGGgVDMEHC2YDaGEjgNgq/o4tzkbTXN3j+Pe1xedQF5Ph%20/Tcaw3unRxlX689kEcWLxtnyd7oGgYKjbmGFTQ+N06eCglO0m9d6KR7fzXiM0CeSrLLnOOrm0fS6%200Qj72by7UgV5ooVjfubCuWwUTvEp87G/sod1OZGdPnky0nbn5+eSUGQ/rcJJPkF4bDF/anbWqNjG%20qnA5CoBmRe6hNT55dA/BtovGO4RVeiy7+tIlzHqpRQ7yZL51lHWxxuRiewHtQUK2dD6dgHu/+tLl%20yGYMgYkmvwtAGWq2tqoVI++/i5MMbXPcUEUsE/q+Sxztw9uPshWE7xoOR3nRH3z3+9nJy5ezR8/u%20w+l+nN3/7OMAseVHU9kSg7K4tJTdx7FmAaBR5moEzXSFMSIcJrt26TwJLpPZ+4RPPntGAge+qVNn%20z2QT0hxgziSC9hrhkds4lzcB2V3mZQet9xHAPs8cLzOO888XMOBXsu/Rjn7Wxafv/ib7hHbM4Tux%20f1vj0G7QJK9dOZ/NoUR0ESY41s86Ydn0dxF1tDZH/DfjjQDZRbjOsEbGx1lLBjBghbguj02fQHDC%20yRvGBpDu744z7lgcKhLiiJo/SoLrd48JCkem8fMArniyMwY1klt6PVp3zLL36l0gzEmvn0U1UvEM%20PmS2EmDcbUUhnB0GdmMLBBhrEgwT2Ow63WIQdiC/euROUJZ3iYnSGaGm84RN/Akn4eq9HJ85SSfM%20ForI11zzLYC1iFIwzKXQTAv0TDBXBdri9XznVBTsYtfk15Y019rPFtRFDt4VylWQzYsUGfcYrs50%20c2ME1+BelW5DaJX9SNuIoQztqWpVxD4uNc9fC202AVfR3/wXXhBAi4uCVw1uPWUgRUap5mC8FB0K%204LIITn6n9HJFEPg73nPOWvv40V1iRp9kD+9cR0tbzo6zAOUNl9ngayz8bTRSJ1+TOBx5IRCkNwBB%20g9odjogllZPkNcPQQjtlbgEBkzj8W/NS7UUQN75V8DWMzZ97ezou0AKhFAThFbS31WU1ZaJueL6L%20UVqk4HVCMQ+NPNAv2Sy+ltLL4ms/54BSSKDPVIAl62YPHlQwVruyQtdp6BizpHzeAZvKaAedaiBx%20NgY4fvvtN7Jrb76RncBzn9Ja1VQ4BFPz2XF3PRSTGCYTCR06l+AAH96/RdbfbdqLokJ88z5OoyGe%20OU3JzAt8D1tsB1B8SszuU2KMuxAAVh0zvM0+uKFn4Td1zB0ny0tu1b137drV7OWrV7N333s3++CD%20lJZrUFVEYGBJPAOk1ZzH4PQXnxPdQgvlKJNrniQDHYXEYU9NwP1PTKKljmYnjk2Cc4DXqvUtEAwm%20f8if4lzcZXyWEUqD1y5BV5yNkEfXhfO2CM1hgsgO/TPMbnToJN9UP1tHmKN1HyfjsQse9d7Nz7JH%20rDVrPlg17dldno1meeejD7M5KBLK+MClQ1nd+zxb4nWBfQjLwUy/AfZa3+46wmAyu/DH34mICR1h%20obXS1pHe09k5+jCCwHt+72Y4cZeIgx+g3YZlLpA2fhsn3jIW2ATW0AXCGafQ8jdY54L13H3orrs3%20iIHfzU5zHw857YPXnyVx5vypY9kBmqiCeBrLYxvrfhsQ3l0zQmeLbFEELRXgjJ3v0zoDNCeGT2B1%20Cc5TYYltca3hm3LO/u4yGURIuV90dIZPZ0DlAi6Z8ZbDdq+tI6Rdw64nBafzu4KF2fv//H/833Hk%20nMhevnYt+8Y776Daj8SFXTT6ADDuNnwo4jFZGGSd9BJiZGGL0NBwqe6Z88+GPVC74qaaS6ryS0jX%20n//1v2PDr2VvvP3t7KVX3wgCfVuzJuoOqElVEyVit+VacnJMJa61AsahFSXNOtUiTQhX0AqFxpsi%20NfJUglzTKkz70Nz8UKBj2sT+HZlfaJR6htXitjBjrRGgxrWGyXgbk2kRbfCVV7+Wvfzq62EJ7Eao%20j7cqEQ45WFSI47ggQXRqX6F+pZejNkM4ggJ1eC2FSZmBFrxv/jM0RHtNt3eiIE5yiyVTOn0Z6qnm%20tsIiee/d94ig+A2pwpwugVXTr2OJBdltEgDfZnjJ9VphzKeHAFYbDYojpdTaNJ2Au4Kxh0tqvsbc%20KuUTcEfwv+FxVp7iWw5tGLNTTSAWm2GO3GMLq0rTM2nOKVxRWuVA+gotOvqTa/tF4ZvkPMvHLHro%20Nclq8PXkrU+WnEOhqqBmMjc7F05HHVM9DIr1HpYAHKm1fXweOl00FY9TlHwGDpTYAMZjBdMZDnGU%20YkbwqKbK+qxEgRfPZV6ohbuKZTH7+E42ixa6qnPJZBPGcxyAGDKGmjCw/gNd7xusGbQswG0HrZhw%20BxINjJFlAxvFgVBbpK3Kk3X2imN8HK5bXnkIQOmnHT2AYlo++9n0iRnC9CjfSGSAmZJPyHCUEhyn%20+FI38asHAPwO47Kzv4aJ/zlCZhqulMQStMFT3hMt+MmjPbz2ZoWhbMFfGpWwDRjpyFOgDpHsYJSA%209YBHUDxcb5Z7nIaHv3rlHGFavQDgg0iqWFukTjOJFuNYYTtT8PfQMjp4Fx/fzT5ZfJqtwXePArT9%20BFQPUruhj+iEbrTsCbT6Y4BvD2tDJU+qog9Fb4ffl1i7a9AqJ+F/ew9OA4wIcJQLVhS012qEqglk%201pbwNcM++lEc15nfCRx4UgzraKULCLpbnDkoTTbInpqgypqYITe/jrNsEa37Dg4+LRuFEyWtsOLN%20glzECWwIHbw7/i8BdW/T0DNC/7CgBkax+8mafLz4KHtw/1FYdjqADXeTluvjGjV998WOWnLuLTM5%20xUQja2MIwIsoRCp3Okc9MiqOh6I7vWZTmc2kNHjjtWvEMiIt2CDWETiDt/0xPItZJBa1iCD3WKTJ%200YIagnQUFuCgfF2g0JkjJYHG/JDarVG7E8khz3KGVMt+g8jDtEzYVDm2OweV0DljASYITQUVc9qi%20YbJDCi8q4C5FWFa11nr9NUFfMn9zhifAw6y0HUGYxTvHeKyqZaBNLhJ24ga3/OEanFQXdMxxYjr1%20Nvcam2konwHmmrK5+lsIhpzprPQsgXLqW7omxQGnMU2nARgsZvruBtqWVEIk0ZhZFkDkhiFAnRjV%20RFf4hBTHW4RgX7tyITt//B8TUrOf/YTol+4dPksM5AGWyoAWEItiD95xF1AIKoAWCMR+Oe+Oyx4e%20XhdUtEhksqX+LaerJhqxpHzjx90AMIYBD+c3yuuu4V8w+cG+WfYwuGXGl3F1M+h1Lkpiava5KGM0%20zKaSg8sHsaoRF4BczHOiQlyDCo/gFflSGPm393+Ghiz/egEaYAKqZn4ePweg2Y2zegrv+AjUySpg%20cuf6R6n+w+SJbO75SjZz+lx2Es98CCl5YS2R6LN1BtiMjJO66h5xuquEei7zfQCXOKRXXOfjHiY8%20a6K/l6SCdRWSFfhZ2gW4DeOR70ID25hHkwYg+gG+PbRY1+AOgmqeqIvHjx+HharDrw8w0M2XTKdU%20J3cUjtm5nsfZpPYqnbRAEk8/mXKG0Zm63Ns/FtreAZz2GM8Ywfl1gHY2NngSH4IFdRAkJHbssT8F%20hnXaaDaeWZHHoQhcodb7tcbIAqnSgvYZkniMDLmDFiwHvgIwLqN5Xuu6ll2+eIYxI86XynKWnezd%20JorFTDd8FgNgRo8cOhrxPnTAHNptv5E5cMrJ0mMn5unwxqarIFjkfRxg7euZ5j6r2SLWxQ5Ap+DZ%20ZD8IKJv8vch17tsTZHT27p8IrfoR7XNv7WuJzcJJy5GjZCEugsJTiRyiRoSbZf7hnWyZ/RCp3PtY%20voyZiRwqnfLkVm9zTUY1QK5xvaVqgcmfsJuP3/Ph2fC5RCGqiCZi/UfNYs9CzKEpdntSQtUzpdZC%20rzT8Vycwis2wDryTx3Ww0VE4m+fP4K7CY4i3kA1/9dIFQkQ+zp7jiDM4PY7BZm1Eeh+b2zCVOGfK%20IHQ1CKUBi1ugjqP3eOAyIVWP6fiHvxsG4FYJIr8aOec6XVTfI4g8gsKdnxSdENycj4pA5QTJCcjM%20v08gllCt6G2uJ8bnNGGb0AeVTyRwj0LeBmxD1n/84fvZfQTTFgBsNbJ9Npkag5qxXI/hfe//9hEL%2093r22pvfyt5C2z/F5hUoRSE1k9DSk/qd2htqTYXprijGar9JG80rRxkKFGDLpmNCN3GM3Pj0o+yz%20z6gBgSSX5DMoX57qBOGC115+hTApzFsWVhS2dpE4Xgi9noFuNs8JIiXOZh9PT5CeCxiP4D2mKI0h%20NHtmRYbTzpMHDDtKiRkJNBNwCmj21/mLRaO+7mfSWgtuO4Rm+ALkLcnvB2g3MNWNbIgsKe4R9E4l%20w9Nqbyx8niFt4ZhOE9Gh9hzB9/RhEyeQDkE1juTESwOZtOHk2Cs796TXjGePFGDbyLVqeptousax%20jhJTevIkIZdKKovGcFzPBOnIxp0+x9x9BjdpecXRiaeAqSYjaxLqYRitcGNDcKCtZh/Sv0Fj6dFW%201+AbdzRn0fTWl+etaMNalmdmnYazJw6W5LqdbEVhQ5tGAEWPlh8grG3dGrdGWnAfw91cLDozt/ie%20x8MvOOnpF2jUtNyHfskXT0+dwjwmJA0N0nEboyLYOu3XMRQhg4CogmCYz0VtX8B2EmG0GNXzoEsQ%20AlNonUvsyXXAn1yD4G2Xl8JxBB89zfo6zhju4VR8GI61dUD5EenJc2CDGW6GQY6emokdOWnNDDbr%20I7jabeiF6eExLIuUSJJ5Vp34YE1i6I6wJKEntvk2aSd2LJ+NLN3wj6QU6gBpvj0+aQCF0PHdRVHS%20OT3hgaOq6xYXQriGcsJHT8O1hxOaeZI/78IK0GkZxZDca2CGa970bZ3bhgnuYZlsrXvShk5kknJ8%20jpEmfEcFwlhRCXgL5SHRY9RtMeQTesIs402c0XGlYZmMvzRMEfkU1eXsY1jzvG/BKq7RKixCb2M/%20uFYQBL2DSI59NpAg9JO/+atQm/W2jxIWEseQsLn9VkPq0kx18/lQJkzHswU8QqOxA1EUGynIz+AR%206bzlARcwqT6CJ3xEfdfT529G3rupqqc5D2yUNNkUp5pClwqADEPcvPdcNy4SG9LxOGWwTbpmqhfq%20ZIZsTJIo/k7AG185bZGOJjCgHd0D0Lh/+7Ps0w9/gxl3NypsDZrnyGSuY+aYKGElMPUv+cFnjzH7%20CIfaY1GpJbswutjIUjVK1EJAhMgIwVEF49QnxVSqGdFDTrsOlX292/KDkeWIdx2u7aMPf5d9Toyp%20YUGa1WNUohK0FgjJCjPK+N9Rw7GKCBOLj2CyWXcCrcjMJbVtkzgMdRq0tium+ipahVSGx9U4Q8F5%20ZWj4mqRSBrmTLcz0nK8uwLiwZhJA8h0LTVlsADtOtOCf09yotVnLWCdI2mOuE9tLkgPrSE3sza+/%20gRNtOoT3BvWFn83iLCKVVYdgOionCWd/CsKRERpx7Ji9aGy9zJPH2RRatGtXp6VRHmpFOoHcaOvM%202wbm+YljE9lr0HFn0Zg//OSj7AFmrzTFJuYz6mu28vxJdvfzT7OXrr6SjaChrlp/gw3O8uf0Bvj4%20R7eJ2f5lxO4ewDOb9SetEjGz5S8mVyMVkeLp8NlxEjgGCU1bw/IqPOomxRiXb2jb6fOnsivjL1sO%20OPsY5ccj6KdIsvHYIM1eTWGTPARKi5OP4lCSY1wm9GuUSmsKkW3mVsXMctGDmP4bKBErWjqsCWOD%20t4gvXsAaMFNyhlKQKNThkFLAC7KuJ/+WY/d+x2YmAkSeYfIrWE2ZPsnnzpzVKjQMks+BEdc5aFWL%208jia/whANaRVhFKwhwMwMmloUxT6sVJc7EmGLHwDaZcmylInVxKmVoeLrerPcJz6M9UriddD2Un7%20W6UxzHsRlnwHFRopr1AMvWcs4Py8OWEZTR3dJfnAAM19lAM2CvvQ1OykIO3TzyIDNJ1rl3Z0WGEo%20XCobqd6KRa6iYeGUi8/oVwjzUP1MLNPRrzZtP+lzHOWUQ1G+TwbMJgk6zHR4zT0dFiy6R3hd7ata%20ix10A9lBg7Hd2Cnu0FRTMrlwUGjmqt0qLbYjiD/RF0roLlMIjXxjYy0gVReJJVXC3rz+KUB8Prv2%206mtQHNvZFbJnRlHR9dgHHUHDU5aWsg0OTEdaLPYUlK9mHN7uGPCkNZXrUVTC4wIAEhmQ6Ig0qilV%2000mUdIdfu3k9+/C9X0LVkJHVo8lMH5FSUgYD1h6F64u0TCb+NLzdmXOXsldev4aDhBhECwyE40qT%20XNbSXPQ0CdGO1MBoueMaHKp94V4rgOIDyiZKjwxavUzBhZReI+X4keUWqfKlqTlMicoBqCOTCuSy%2011cIZ0KzWMN7b4FsLQyXpsKgn4kXqG3PBhyYvPcI4GQq8euvvYY5OQHQ385uXP88e0K8+NYGWh4a%20AZ6lXAtwWNOxNhFOZhysm6RYQTHsuTCMvZIWnn6DOBEXD70aio4nAdJ7WLC70HIF7ZjjsApSpIqU%20VjgRaYGFi8Kp55xpygUSx2TnFEZaI4JyD6bvqdMnSAOGP0RTiedG4LwZoZ59hkNvdpbs0QcB0BbB%20n0UpsCbDKebxyZOJ7OaNz5hDSi7ixJtfpPjO3c+p3UHxHMZtHCeYsc7D8HwvEWlgvYRf/+Kn2Yec%201LEOt+iakAbwBAmzxDbVenDyqPUeQBGF2a12O9QTfK/1GkxpdgT0tg/iILIY+jTFfgxxWkFT+/CT%20jynILzVGbWM45ykAeJqQOEs/jqLRGwpobQtDxKxV8eEHH7COiKFVQeLzx4iXPn4MxxpP+YjayQKr%20sclqi6Nw+c+fG5o4H4Vszp0/EwrGItExljIYBWDV6uaePQsOU9NZgTA1NZEs2JgUrDaEmmn1Iwi+%20PdbrPt8noTcmiCogZAVLTOpFiiuFKqY614XHJN+rsXcjWDQhE7/HDs21pvhdPNDaCNiVr08Cr7K/%20889o5ptuLXUVsUb5tksUQVLy0q+J+w9lgZ+uFzMde0LTTvWxJQkLXImtGzRgwpE+E2DyLESppGS9%20J7CN9R1+teRnSWs273M8TtYgRWOl4KlUrS31PB8BGgziaiIndV5NVM5GUE2aj5IgcZJuAmMHd3Ha%20RRYJ1/ThCdSL6khuwX/5+jbeZIubqPqFIqSGiTZjMPkBUmQDad7HAC3i3XxOuMtJfu5vEN6CBihH%20tSHXhEl4DC1ggsVqTYFwFtGh5ExJ0lCvdNGRpMIJ0hIyvq8UdAOnhADBXW4oytXFzOxjmi1ktziL%207D00HXnzfRa/VoLFpY3zVGvG2osFpTmixm+q6eULp7NXr16kXcZeLwenZvHvmGyEkkHwg2ibpgr7%20nAiPC62QsTQ80PvRtlXMxo98NuFlOgeG4BXVTHSwuNgFZjPHwjFGWFEXTg4aSUbSc6Ik4MbQkF66%20+jKUxHnmgedFjWBz37VKzPXXTDN12Hq6O4wrptgezhOcLn2vv8qGJrTnCbwpRdCX4MMFyCgKlC/4%20OAzSPjnuLlZTXVkLLrwwuvJYMH90B/eVhE56OXGtSYsQCI0Fhp9E8OjIU4g7R5rlWzhIjNBwwflM%20E4UEzgVAw3A4vwy3ctLVSMbQxnRwbQGYpzCX1a4tRmT41yzcvkAyBF+8ZPYdVMAGlI9xuqdGZyLD%207RbpwTMfTmCqL2SPjFflGa+9/mYA2jxRAas4ag3o78Eh9fjJU8b3LFmJQ8GVzgLsgk/w+sFBwtNS%20Z3ivi3HjaCRjra2T4eZWeGtNdmOir2Md9jCnVk4TlBcBc5OGp09OZWfRitfo/82PPgor5tor1wDk%20RSJDnqbwPZa29NJjknfmcW6pybrMxwHZryFgnxtqSAU4Ba9he/K+j5/MZT/56d8GNWJMrWOSzo7r%20ysF7OztN5IZlOD/b/jSiatSCDSnsA7hjjyDQd4iCmEArn8Qx5kEBy0tUx2Ocl6AbFSSTnG4t3dFr%20ASgEcXI6S0voKEqgF06jWC95zYoAseTXqSRx5eZ8gU4JjwriSQXM+xVIXQW+ArNSmdeEvQHXuTIk%20vPpiEQpqLHe6cxXUgbRKW3wjIWEC2oBK/g+N2PUf5R8S5ZBqNQuLCoME5unxPj/9rORQhLKex195%20yxAIiRpMimISUpTQTOeYJdVc4LEMny1M2pzdLI651iqQAtzlKBPz5Pvg4AbJ506B+qb0KQFoYb6R%20I4PLsChXuo13UOU28LLqALl9/UPCrZ4G4b0M5zSvN5V4RWP0DJ25RJjPxSsvBS1gIL8GxxZa97YS%20NyfTU9vj9jHEMSS5VDX2bxmp78YZRmNUYxIslWLbcH7Pn1G9CtPNEJs9FpAJnfvmzXt8tkPkgKnN%20uZAZ8DU0Urk3+fVu7i1fp+DXa7u4SAhQVCIjxZaFeunSJUzLCbRr8tDRPtfRGu7gWDLeU5PwCSby%20XHjlHyhGQujJdzreRgGEKcaPcJ4CwvKLfS4y+v7owU00owX6CVcL+s2gDfVALRkXPPuEqmyY58Z5%2091NXQmqin/mco0jMLiFDblidQefRjK6h8Z3GhJYOeQrwKPQUHJsR+SD3m871Mi44EizY1IYU+br8%20vzylQscIin02i6Aq1aEwTac9WMdiMDt56mSAqFrcAsCvsI8zzdI6jGsFLz8r0J45dzq7fedOlHq0%20PVI3jusJ+N8333w9uOb33n8v2jRktSssC9fQCcLEJtDmPG332dxDzHosGdJmBeZjAM80gsjY6l/9%205jexIQ3IN8RMjfA0Qm0IYWzB/KdwyTqgNXnxlRGiKY+JMACgDHlaWmFdAZgqBsOeXad1OAAd4OGU%208v8CUpjoaT1aX2OHtbKJwN9B6Eo9Ge0xgEa/zmv3sFIWyVY8T3F8iwdZQObZ42NQDcROk7jRc9P4%20793guUPo0u9TONffeusttN2F7FPKRsac0O9HFvZ/AN1y7z7a7+lYz3vMjXGyrietCmO8pR6MopJa%20e/+993B6PoXbHspOW5ydbEbndhHLQspIPtv7a3VpAZvWLO3xjPvsWStkhLhywHckalMkiiZFEviv%20FIB+iuRTCR42wLI4/LPYuwncEg2R6LzQcml3cK1iSmCcYj9p1N4tOGJ+j1DEALnk24jnOwfxlfxI%207ukEgIG2wVObK6HfK+KD1YBdl8WnpDT4PY5k0qmnsAI/XNnhSwktPAFz9CkwNAG+/8cOEI5Ca0/R%20YUV73B466iOpJm97r/xakijpK7i9pLjETVOiQ7pAXNJ5J/en1jOoRsamXbO0oRpxlJxLA52OzUm9%20iaweJUge+LwDP7009zg80Ss4E8wosuKbmXsCPzEa2QqZNE8f38tufv4xufEXKQbyMgByMRsCDOxu%20xNsGhZEGNoY4hLCSKjldZucIYSHzRs3wMjzheYpO96DFrAH8Dx/cALjuhTOmi1qq3WhRemEPooK/%20nK5GSwr2D3aL21t68Q758WpqV3GijcK1GftoTd179yj8LciHqdyTvfHGG9kbX3sDXm0itLZ5NtIn%20n3xCeur9CHFxUW0CqF04jPyMEX87Rqe4IGMhpWLVbkKLy8jjm7Ks88C5N2nhkw/eQ7t9AuiTvIAG%20Kh9oPdiPqNJlTYdRj/VhY0c4Gv1YW9NqYWG5qKxgBYi+/vor2UmskOukw64CTqtYJ729JBcAXoY3%20aQEtcqbXJkBr4ZNpUk2tGaFDyfx7LRc5zQ0ojxUAWmvkjKnHUE9PED6urzE4znNwjfbTzW0ol9cO%20SrG4yXSkqlaFNQaAm3JLny0yHhsNAJFfvXj5AhlpV7Pf/fbdyMK6fOViMvdyJUZrTC30IRrsCkLv%206wD32fNns+s3Pg8wWkM7XWTMNRn7dRyyka2DO4M2qUa4CxVkgfN1wNtQrWG0T6t2LRBdEwdQsm51%20cLs2zIDb4Fm7aJ9qy9P01/HXSvD+frkOzAi0wp31OBaxBIwOXkW4GH63wRgqHCzE1WOigKVImZvX%20v/YaRZCOZ7/7zW+jL4a4nQIkDR18js/AlFzbK7dstqOON4v8PHlKtuFj5p41OXNsjHWBgw9rxH4m%20vPBon4QIS2j6rq1zVDkTiM1otC6GX/Kj0iBGErn1FQBT1DAx5rafQhHSUhbNWZ5fJpNwKBsgpjlR%20iOoQuSAymkBsUYNzd+rYLZx1oX6kkNLgW1VA8rBVQTFktBZZJAgB/O4Pq8z5etBjoSXGtKuRq6gk%20pcwUYwAuj9AIHTg45ASqxQGsqQwB/1tcKoBYsKcdkY2c04zRl2QV+qVjXaGr8pE/PmVjBsjmQKyD%202d4GXuYBD/HxJIBCs44DX6VTchD3GSiY+kgowZrMlwiPEv0N2OcCJWPwuLGuHBhek37gQQPGU2Iy%20+pU4LjVaNGMHLNeyAyMN5YjNErp5aMb+ugMvusSC3GUxm6Iqae3AKpV8tn/t8rkVCkLP41S5TsGi%203/7y59S7+Eb27e9+lzoDnOZghEOATJ4dYQfDqkjOgw2y/0zh9pifbcytdbTajRWKhKweEKXwMZWs%20fgc/RiF0OVOrNMUpselU3pDMETKmdpq4JvPYLa5jsPd7v/05fOTj7PJLV0LzW8cBtM9x24bFCTgr%20aOO//jkaKo4ej/V2QeoxfwpwrmHu7ayhzVnxTIvB02LZzNqGUikWxHGTFynKApVlTsegPixOpsMh%20tCf6+ISNfI/EgaRMHKCNX8iuXX0pqnmZi580Gb3/3h+KASfHXkh+Sk0KOHzw/NkLkZLpRhf0zLxz%20Q6RCKIli0cwdBZgGAZw1AMkwNY8WN0V0tAevMm23zYLzGTKmvvP9b4dfQYE4yUb1FJDz0CIxybHI%209+Fsn2UP7pG9RXq0G6HHQkSGITHmK6yPWbUy4jtN0XU+Cj+GR7P/6G9+EsVnLP3ZxftJUKZNZKjX%20POBpEsXJUyfQlInpJQ38Hv6K54RjLRKeqPNv07RQNF0tg5deuhrhZM/n7zFPJG2YqMSJvVpTph/L%20ScqDR7wyQilCptAio2JZ+FSk8AAho1l4zw3sdepw0li+J/2xugjAQYOtmH6LArKKwNAC1EE8fZrE%20KJayNRB20aKlRQRHqb+1/DCAYZI9ZkloMP3cuhXXP7+NsB/JXsX/InAJbEYArSAozl24GIIzKVsp%20MkYYiKI9hksyrJsA+Ume/9rrr8fYPURDf0R43WPWqc/2OgssWRp1CAfkgNYl20Pl6RnA7+nQw4OT%20ob3GWvbk79xCDVAOa8fjk5IW6ec2WIv6TvRJiTEByEYiWJrSUr3Grge45dpw+B7wHekgZp9E9I+C%20NKgOWRAP/iSsMtdOJxGuY/DrSUvm/6CLjIxJgqHCAqBYBbKFrpmUxXSOX7LUggv2ev1kgUlJCFS4%204rgyaedJ66U1zn2uGRd0R7pGASGTkCpdbkPFRnkArJNt1rjJcz6/16OrK2CcO018I8A4T/9VkrhR%20DXlR87f6vWmwmp2RURWhUFa2T3Wb9P0knsaFmtTz2IdiO/fehMu0jOM6Tqb5BeInMWH1hJuf7SK2%20mpel/ATaVNx5H3PxWcSPPnl8P/veD36YXUEz7TPsR00yN0/CfDHUC6Cw/uiIUQjwis9nMbmeP8aE%20tPLXQfYJkQq3b34a0lyzXS5pD+3ZCkx+CT5xiLEeWSiKKCdpGJXpkBEys5s9oN6BGU3HAFvNl6jx%20YZqp3Cu1ZhVM90m6MHxKLSwWmJwo2pOT7Mm/rhahUZBV2zCldwMTVm7TLzUUD0A8NpmqqbkQI+ZR%20ZylzsWkRFsBMAOgDfFZIMlhZkBrB3AIoLArjWOiAxQMS1E6SreRSIhz6oFe2mIfVHPyslKbFswRo%20SOmEGQvYbc5ao9UTCnD2ME569geJBV1ZNX4YbXrVWOsMemYSYLuCBXI++9Wvfhnr4M//wZ8HfXKb%20CBG5YPnjKQDaLLLCCtC5EEVmzOE3goZ1tw3QDxAjq9CKzDzm4hkONYWdzqxLl89jhp9LHDJjtLLq%20euG0EWgO6Qw5eE9quM/Ze8sInl6A3vFzvT4lI83PjRESNUUqsPWMF7gmjpxyI4aKl6JcNuCCt+jI%20Ju/N8Xzn2rTlYdZIRMHQsqFeqtzxmwC2a0YVZO+e4VT2C8tnFqtolugLozP6Cas7SaLGFmvgDuf3%20GdN9iTEzdCscmszVp2SVzT8jaYLkENPVLax0/uJOpEIXnOVtCnhtEj8+Mnw59uYCWqx0macRTzh3%20jgECXCvOpATHUA1y3KwytFm1aYWnmvMMES1SHs7rj3/8N9lnn34eAuztt79OnYsToYQYvrcTdUoM%20PyTWGK7YmgxxwCuv7cOd6zMJ6z8HqljD9EtL6NbNO5Hdp/KlU1AlI04O52I5cR3a0lw6dlMGm6n9%20rpUJKCbCEz3yKyKFAH2d5oZDuoPZZ9aWEANUEEdxTprCLBQYtlg41yLSwnWUU6jGzKeggcQRh08q%20B+vQYCPcUv3MMq5SM0kRDc08yOL4aKLjnDvpDisKStIoSEI5TFaIYNxvKC9gHKUHrFaIFSbgW2+k%20B19BHHpgVa0yGKfst6JxOZccnI3H3whagqpakfUHyGqiQ4LXBPGLUThDCRPmuoH2xO2JwAUHpN4a%20QKkmznN2DNK3XikZYWbTxCkImiY6rMwIS4XqLYDejdS1Fu+vf/GzeK4b4uylKyEA5IiKwzVT8oOq%20P/nqRHE8YzM+fniPRUchEDbtBLGeAtSQFaTUZBwsFoahRj1dODr4L0WIpHAq2+5EC64eM2S7BdQo%20pM33JkDmkIeTjikALiOou5dYx5hgNqEYo5nmqQpqW3Lum1AGyRrAzcBQWGtgB4A07M1TB3Sm6cmX%20H3VsK5o07RI0lKj7XG9dWu80yiYcYBE/J2LAeEn7HyqJjjSdMrmzQeGoeBf4lncp5mNVNf47w0GZ%20muy3b98l4uIZ3OFUGhc2hJq0oJ34cGKXwwxMzjaF6ATgsk8n1lYJgQJwn9GGWWoBWIZTz/1zImne%20xRIJU4w2TlHhr096ixjWFJOZ1o2buh/haBKJ5n2f8aJhyqJFsZ6s2SBgvMZpIoKNwKhjyXPL5DWl%20XSwe67OPkwZ85+7tiH0eoFqdQkUBotPt+cKjCJ06iyUxgQCxXoQJNobjGXlhOJlj5zozKSWqcFn8%20CL7b45o8bGHL0MCcvltaWCKxgjVqIXE21RjhmhrbJ6Hgni8/RvlIB2v2M56uLesRHKNw0zRptRZI%20D24eAaSmKj0gqEoPqaRosRjOF8DEWlDwOA/LPFOF6DK8/xQgfffevewx1elmjp3EIjgV/Lgbvwuw%20VzNWEFnbN5JHsHIEnMemPwNYF+GqBf5Lly5D/2itkA+AT+HS5UuBODEOKDfLWME+8ylasU5TfQEH%20WBJxdFckPCRwK6KidLgOIlDXl6HyeNYkmXNnWWdy5SKdbVQr1WE9gZPQsQ4tmJ+uPdssDWLkmsJ0%20koSW4FeDYqgmCUX8ucKGvqmRax24t6PWjv9JEWh2qBDlyUviUoSd5QlPRkEE25VTGjpaI5ELyeo6%20i0igYB9yjTqHWd8L7tnEL76Z4XxN+3KeFyE25D6S0NANJOBz7vE4ekys4eG9KYQkCCVuZPB6ikwI%20urcoGJ5rxkmNtwxeMt2LTrpg5AU1PxLPo4fcNOmU/hke+NxErYiUeCRNtwO8r9kW0ocLI7tPTZvw%20Ja0JvZnG4w2zmdYxf+WALf/HXs025C3NhNP9Rke9n9qbYXofvPur7O6N61GKz0gJnT1rK2g1LMYZ%20+F49w0Gj0J99JZtSz4gAhQrP1bxJFcwURDo3rdIFZxvSipAm+qiGE4koYU07yFyjl502RLUmbh9p%20xoKKuGMbI6QrJcqExu1x4WbtWFyc+0wSgzuug0fz0BOAzWCLZBrDB+Xm4eijMLjH8mhJ8LenQAAS%20uzjtDLqXc1a7i2B3F0qu7UWsI/95H82lZ2RjTeJotKymz/Rbc1JO0fTTMf4eAYAs8ecm0Ztv1MAo%20FIFneJkgoaDUo9+PgDMq5sMPPwxNTW3hR3/9V6GBrZJR6HgYizz7eJayjRdJ/T2ZKrtt5DGYudYy%20CUCeIpzL0LJNuOgIO0KwSRW4WRVO1n14jlPSTDvnaQQq55VXPZWiL7TJRdKWrSV8Hs749a+9yms4%20XVlHFmzfoh1PoKiSNuapDZqQEQgbgm68ayIcld5L2kgfg+NsBp7j6UkP/pxGCC0B4vZ1DO3t2BSH%20hI6hLbIhrZt8Asfz9kmAmay/RbT05zzvBr6SPWKEv/Xd74Wj+Sm0gCdRLKMd3uO4eSmSS/hGPLVC%20QXPCU685/ury5SthkkvfKDg8301HoFap9aen4PjZMQHE0nfOofOjzyKdppwUBsEqigGRsGK7/TpG%20GnZSEvdjDE9TUlPLRVpADt694Nx7JNd9cgUeQWe8gmUqbeG8uK8i8iNSNgVAuWksTMbLtGKpEQsA%20XSPD9yT3lo7Q16DgVtPdI3lEazDiw8OhVQX0SCrjS8044nrdobkWGuniUhxcH05m17aWN/vC/aWD%20LGXShakegiI045wH9r7hVIyQoLTvA6bEA3Vb9w7PTSeC5GFzRsoYyul1wSQkkPeDRdRZwY0XmGck%20RVLotLZSZJLfA+ClIXNSsoI9Y5L4lhTXKd8lb5iT8DYg4CkxIBEDzCjrqEuFWqw4ZKaPDj3PvzLO%201IwupYRB0ZpugKxmjJqPJnb4W9KgpHAXg6KTaSKY27gDwsYSfSOflKaj0CJHAR0zfzw1wWgCw71c%20/CmLx/AzQqiIILhPgZDbxBAvwbHtG7y/YdETiH6815urxAjjLAlQlKZhZNVi5c/NzhmAZnCQdYbZ%205hTK4jFf1qZEcKA5yOOpeQhOaisuVDeynujecaQ7C8IUaqd3kk3RRSqmFI9AqTPKDEYXkXycgeKO%20hzz4EFzkBBpRcTqz2lIqZykIJ8HmlyClGeZOccxcLHLWEf+uFmyES6RYJzNMx6heXbVwD3t2E2+R%20vnqXsL6HjPEq2stZiuvofPvOd7+Z3buLCY124cZxgwtO9/DQr6xYpIWUYsDPRarWtE7CxhNOQ5aL%20XQWonhKrGqnOdNjIDsdYZ5agrya4S9lH6+kOsyH3CItag+5xvtV6zDh04ZoeWpiDntqroFbTkppw%20wm4QaXH3ziPGi/Ra1stxNOVpNrwc8AXicD/84N3s888foZlzlFTuOLa9l6koZt8FasHu7t27PM/0%20VsYY4WUKrvPt3AcAYWKbzSZFo7NWJ24vtSAs2HMCAFTTOc+J1Mc9Hp6+33p2M1sgB3qTsV8ilHFn%20cD/qmiyaucdMHEfovfVdsjcZ05/97Gfh/BwDMN/HuXuX+PLX4H8vnTsfBwCoJV/g2KU//dM/jYL2%20H3/yKfOCpQenO4DA34B3/IhDWQ0DvQAv70852U+4btTTWaCZziDU1BAfP3wU61MgWqJymuvIteq+%20M2LD5B+z7aSa5Nqf4tRz5ajJG3EVxYnwlzhmj59YMvXTvF7wZLZNW4fV8IKbTlEbKkUR6YAG4vFR%20xoQb0RIJKuxBozy0dly/grD+mgEdnlGXAz7e7Rxhdil2wn0UACno5ViVfPbJyXbAvFRANrDcE1ik%206xKdERa3OKT/R+EugOvx536VQliFozMha/RDh1t8KSDECZVQQzxVSBOaxzqN30NJTa/F52P3JeyK%20S8XPnAaLejhaRfrpFJQW3SoI81SgJaG3WoDgYCNTAoYDm0z4dKBjqj1hbQRv6jE8AnCcJ4a+HdIi%20vjBxafz2tqaHYWAu+CSh/IrDLNmgSj03oAssgCXvu5S1kbpR34LNvc2OVet99uRRBN+/8+3vhIkW%20WTqx4Tg2CCl8/w4nwnKoolX2LaEYCmqULgS8THsEYNzsfYCr/VTDFXSiOr+ZNlSfcjLdtOHJp88e%20/qjj0vFykjWfDvh29C2grfdeiW3Gnp72NTSKNbRBhcMBVdP2MXdiPrlv1B1mItYtPwlvpont3yOY%20fpr9LtjCXNIJGhluAK3fYU1wT4fQwxjNhjIRIAQZfVWD32cDJK5MCqeIE5Yysaaw/H4qj9nFQjUW%201gWil15O1uIyV69c5XTdV4M60cLxYZ5obBlHf99YRxhiyrtx5i0ML1eKoFBLNLzRQvHWPXDONxlz%20jQBrJIi4g55QwXM9HucJmqCV0mIdq62z9jwYUwFulTcjNKI2h3y3CgLrZwwtPTRBTPZbt0iaQSBp%209gqKtt3zGSc9rQSqwHjhRH8Qdianjplt9IJao8JFDdmIBKtpKZhct4KS4+AZa86XWWZW7TJBx1ZO%204hA0okWAN6pkkvaMmb2GMFuC273/mBNx1tCCETBPSdqZ7dvN5imU0w8tcZZokG+88/U4rOHf/eVf%20htAy++1nP/tp9gSl4SVCOW271mWEnxED7dwbX7xt/wDRJbRqrUgtzlXeN6TyLtrqt7/9Lcp1LnMY%20xI0YC30IAphrd0fu2zKnmvKeWUiffI4CX2GkBaLvY5l7dXdfijXxOZl1V+CyjQQSak4SNqh1dhyA%2012Kb5dTl99//IDIap/jbejPu7UgPUckShOI1rBYE1zksGOO/TTuOxLWwRJMSaMwtGhgYk3wz7uHC%20yVgAWbLcPTEjgV1RyCkxI3l50zxSJJqgsiiYhuqXA6FpyHlSVpw3qAZsJI+AGjRDctwVlQgDfE3U%20MGHDcFoVUsdU2iLAWFNXxTThnX0VE8sA7OuhMRs9wXOkyyQfLB5U4KsEZwi+IpjaRrnoDbMwTM1+%20FTVlI+C/Eh5DpENwvi5NQ0nQGKNyv1ps0p4j9s6JgUewYLfS0jz/ovHREDVp41bZWA5CFK6RW1FL%20j5snqejn9NwLHppEWyy0uzdvBPgfJ9ZSb/l6XkvBQTRd9A7ndy3jpFF57gFwB7rRsigkbSKFA2a2%204fZ2SsqwtS5UtRB5YYtG7w0pRVNyS6IekviIcD29nrTXEDsFiGmpmt5KZwFVSSKwb7BRwyGVF7JJ%20QfCR44MGYMwz4CDgIDAEGXk3BcQIYCBfJRBElTR+SeUul4MCEIwFDNOJJzkqSXDSKomaw9IVlj3V%20sRQheWmhhhDUq4ypLBDbJ8FSzVcHi+FNUwjF999/P7vBCcIKhK+/+RYb8ET07ed/+/MIf5J/lVaQ%209//O978ZfKaar4vsEkBjf27duhfW1c5WHlGAILVurt5jhVQXoGqOliakTkwFuVyfGlSADDTUHpaX%20Fa3k04LiMsIHBUABp3PrlVdJaabWrYksZ01NZ1wFDQW7FNQopr5hjI9x9qq5G+0j5SDAPUIAKNDd%20VP4tpXT+/FUEvMWgjEAZ4JTk57E2//7f+/uhuf7or3/Es9dJqJgOjVYwk8JZQaBcJRLj0cKD7BlW%20w/HR02SUXs1GsR52KL7z4fXHgDFze348qAApH+fpJz//WXbn3l2iIF7Fgc3hr8zvn/7Jn0Bt9IVW%20+xB/QJz9B9jev0NWLBt5irleJuxQDc8jihT+ZmBOU6PEGP2nsxTqYcKncaqp1ScBl8W8SW3ouU/j%20ad0Z65xA7QkoRn542go8u0JqYXEiQi916q2w5qSDpEmiDgSc/GtEfWi53bp5O/vF3/6SEzkeZ187%20d4F4d5QYtWLQUj+IfoACDLUixvP4XQv+SF+ouEgxJHKU/9xn6lSCbW79FSplnELt/6GciW5im/Ri%20ov7ch6lmTf6VTMG40JjnQglKyRbJMjcsLbXPv7WOkyYtzqnR+2pwuWrQoWWnKKSIIs4/awx1PDuU%2059SWGPfgJ2IL1n4pNATeOG4qTxzJr404fjtuP6J4OIVaXKgCX0qrzcNIInYvV7cFaTaXx1MnDTYP%200CaKQaBLgxAFDflASmAwhrJrK8XiCexuNE1OC4D7WgCEzw8uU9rBhqaaoGqiasXGaUa8rNebuo13%20/kf/9l9lt25/Ese8mJ6tQND4sH6DhX764E8dbQE5hZyjwYRWGKoyCzHVrlUK256kFavRSQmkgHHB%20wCNx4jRlJSDP19ETdRjCeiDriY0WZ7pZp4JB8Vodk1HJCUHgCjIus5fCPikPR+5O0E4xxnFKs+GC%20AlAUpXY+UvC8prIRAHqvUxyvAotnHpeznQyKRCpFB1vUlrC9mn3aFJpz+aIaQPsbGkbroo0+1wiP%20VcDTdkTfJ0iZxbT1Gbdu3Yg6CGdJGtCS9AgZJ1sHmdEKb7xB/C6m9KcUM1IjNjXWZIHpGWKSqeil%20ZibQW5jHBJcRvj15YhvtU+08hLEFVwyPZMXGfBi7jlZkfxzzVN0t1QtwfWrSKSjniRh5+nQM0B2C%20/32dWO7Xs/dJC34KB+zYe+SOe8nMMUtVGiJ2nfRvHVJpXA1BSyeXxAEJfCbGjf8MNTPRYoRx+CER%20O3/8x3+UPYe71QIY4XmTFF4yCkEwfk4InacSq/VZs/v0KQqv95A+TBo1SaVZPzTOE4TFwpO7pNGf%20wbF2PEpP3iIkEu9x/K05Pg4w6jh7Ao/+3ocfk55MEhQCydhkk3C0FuV9PR3l3t37+BMmYrwEx29w%20SontuYN2q3C48tJLHBZ8AXruJtTDXKxD66tEdhf3MtpDIWNcs2vjZXjfC5fO0UfO0INKkQPWcslD%20bkIjF7xMqVbiKrSNZ1ZheP31YRzkADhHMmnx6BMJXtWFosZrei+fcc9Ean2ATtIqkwYprCbKTb9N%20ogT8PczHWJfOe8T5JwzNfwaa+lfcr/pGDoAFDquEpNaka8IZX/qov+f1wxNiuhB8ltZiolBDVCjh%20KjxzVSJELoDtjLYWKJx+5vianp40orzxqQEp+SWnPCJWOeEMVowgaf9T+TrNopg8i82H+ZvCVRJo%20KS2UBCkMRzM3pGtoX4lnTvqvg2vmWq6OR8hLAgZBQMeC95ZeEGiCB7VD3seBMGYSOeFpsTt0VkBS%20Q0xxm6YOA+QsnDlOE1jEW20aaTjXcNJZFMX+yO15xtiB2iAasSF8EZuISaSnVbFo310nak1FucdC%20IqafKfPJZA7phh1NPnnEPIPJPhRnyB1Qw1bNTk1M4PVL7VMNOKQr9xlgEUeltghhguOFBtCSCG1O%20T3zUA0kLIMqRWusjwm0SOBcxkomvT/UC0skZOkwNMZRfTlyxo+WKNlLFk7xf48gaa+E+wzS+TjU4%20K3mZGWUkhBSHFIw1EHZ3OYcMLdOMMEOYnjx+EjHExvMeIwpCT/wVYpmtLPYIrUiO289LURja5Ib2%2022PMLxHrOgOd4NE/j/HSz23NhwBz7D1I1Ay4fsITo6CSVXKSihFttD5sirTIBT6vK/ROnToeING1%201JV9/3vfo9jU6exHP/4R5vadANzX6aenZHiixAzapIqAmuNtChCZTGJ4keGTVoc7Cb98nmSUUAYU%20AKz/feg363p/ncLzgtYDKAD9AoKYSS/ez/5dQFvUZJc6kKceopre8CPAnHtM9Q3He6+QoPLZEgXh%20AethBJOardzxGJmBRiUMD42SxPJSduPzm9n/+3/6CZbPZvbOW+dCCH/w/mPmZjD7X/yjV4hAOJv9%20z//632bv/vYTTrvGSUkfrpCZ+s13vhmUjZqadNECIXSD8PaRrCDfz3qUM1awfvThR1E6c2urlzj7%20z+LctVNwwylMkThnnJa97Ldx7veIOf+MrEz3y0vMtZXabK+CMRK00KQnoYFeungpWxmZD2VCqs+4%20mwRrifIMXjRwQoByv0X1iMJIzIE0KYOFEhmQbVyvFX0Ew9yRlsNDCO9k9vt2FajdJAUcRzGgUAqr%201mH1/fReEQ6bwzMvGjVj3L/p3DrtrCOTTj+PiK0ccAMry5+P31O0WdX3luBdDblQWP071LCgWwJd%20on0lX6IZril7RZPHIuGFpusGM9yrCMDWUxl7g02pmR7fERaSTkq1kluQ2jmQ+DMmJThmO5ZAUimp%205hGmlsevM7GGyRWtisBsJX9wz2pFRnioGulFTYS3WrvZRcNwsd2ArqA3QNEWzXUPC4y6CDzX84x3%20NsmcQsmNQzI9qobf5b/lpnPRm8c1pkBz26hAMCXcvsfJ2GgYxmbaP3nQ4F0N00Kz9jj0/ZV0goEx%20m+GktBQmbTIuVC0qrT7D3XKzO0JdUuhcqsZ1IjaYNIlaeQCsz4Uu0mQ3HE0rIap8BRArfJKlEWE9%20sfAUrxYLT3Gl1iKwELfHiGvSX33p5RgzN82Vyy/lkRHw4GinPtu5MAb0iuFMPOMUYUu2Ta54idrO%200j9DQ9MBzB9/9EFk/en4GhggS4/xXiRO11RzaSNpICMLvgYwWiHuOqD27BE1s2mntFQfQmwTJ56m%209qShczpJctNQemiLGgixTgAxhVvKcErakw6tjzlFYgvg0vSXx35CSJfmr/NkkoJpwfLO6Xw9+HbG%204THhWKP0X5N7ADpIS+E82v0P0IAFyc+gB4ZJ7T9+/CTlRy9UYnCfC+wIBrl5x+M56dNTrN8zzFmE%20WfHcacBu0JyHJTT8dTYwzuF95mcEAWuR9+lRYmUZj3H+XrMuBeM7AJgF701tkF9i7p84NkpyzExo%20wutkhLpOjWAx881Tj12LJzmdwt8F68uXr+bhlD3B8X/Gerlx/WZ26/NbMU5aeVJTnvqtkLUc6zZ8%207ZxJI8SROxZGSkhdmZgjJWUWpxbDLIlWOjhd8+476QnDEz3RI/a9RWeYvxMU6D83RRyySo6nv+QK%20V4LctOYDhHy/ANCgCAoVNYV0CUwF2EWBqfh0IHgAbmzKQDc3py8nOAvY922fUdyygPWEmulzXln6%20PYA5B+v4dJE17TqTQgiYVJN0b6W2JXBPQFz8XaQxl4HdvZpqHntxSuGu+MmijWnfevsCwIv7gg8J%20jP1Si4uGF5xHfECpkLSsCOXI1XfNaTXKlAxSgEgKBxFYJbVToQwBXgA0gD8FN6fCM4kot1ECmdpd%20Gmwny8SNfBTtWIScWOnLwj9wqzhpLF9o8kUcj41l1U+Jw6Bnec0sLqmUXmqr7hA7vI+QiWgJ+XAc%20TOGargws94ykDEs7pqpzRRZNKtmYKpKNoMEZ24zfPzRg72D4TDo3THA2VCylM8cCUoNnA08TW+kC%202gUEtymy5FilLiV+ahzu16NXfI6y000koJp9pjaig8pU8TizjMgDeXxBSseM5vaWGrTB33LGand8%20boNEDLPjghrhGdaKCE6b+ZUvPAcIXSC21DA2oweW4AbfwxmjoHmZQjXbFnai/dZ50Ay2cHeY6mad%20Vdqnc8lVnCqwKdSdb38O9p3IXgIspDRmn6QwMD3tMbasJ88Um0Z79MggD9A0esflLx4LWJ7w/Iws%20OiuRhUnHGtly/TEfKgz+7Zz5Jd9vVIB1KRLFQagWIXMzgOp1fAvWwlDRGCHaQUC17sYw/Th58lSa%20U4DI8fE4nzPwz9bkUFM2KkHH5O3btyIrTQ7V8Xz0cI74YBxgUDMnecYpHF8RTjVH6J7hMjoojVNW%20A6Dt0jQ6e09Nc7IIhXXmKOdpKvQJ2uia+fijT4L++eGf/TFnya1lNz67EfWcv/mtS9m3vvlOFCpy%20LuSUHyF4fkoEhgWMVGKMv58B5F07C9AFd2/fQ1gsA9rT2fe+9+34rOvNEEDpJAH2wcNngLJxu6xP%202im9JG/u3vOEj1WOc/I6x8g4d52UzpvCyz2vJdvluYGskT406jGtZ4AZo5RkHWnKvA62+4M5tei+%20CpxrxMlJ+JrmOzZR/Jas5iJHITAcRScFD6TtFHkEgVPJAZb2WYBVuibBZ4BfaK75fzmK5O8Uf6UC%20PQExBV6HUEhfEe0VviWQgPtrkceFge/BGqf/QnmrtqtCq8XzEwkTWnPR7vg7b1/+WhEd5SegdYzP%20TaKhAOGiyaF1Vcj0JKlCytGViLpgkiKVEM0vtLXczEyfl84w5MqsOjzeVpviVZ11AXIs+KhIhmYW%2055Tl6ZMhEHMzJwkvKQs3nyDsyb9oxIBxt6cIoP1ZyJs7Rr0Aex+FrR0FqQ7Mjn6k2wEa/p6nIMAh%20W+1/m8WjqSV4qXH285r0yTYPlPdVO93gfVNkBYShqF/aG6a9aag6Q3R8RWlww7b0AluDwFKOjkee%209h2JHKx8Y0cjcgHtUhCWM3XxOWYmujjEcfaYue9ssAzNSE5aQE6FWaBJ2DB6/XX0jaOZqYXGAYsA%20t9qvKcrh5PR6KSeTVEywsUoYfOBvKY4zQyKEvKjvCcKmaqudRfQBgPCAe+js0ZLxulu3pmMjTBlP%20DMWiY0zg0qGxSNLBKjxmpEoTcyzo6Nx7QuU0+VNNYNOwz5MePYPAMWPMehL2dcgSjfRDMiWdCqLZ%20mZwoOnYuw6G6aj/cfjeZuWZl0Q7noVhjCsS/BZi6EbpyyRfI+hOUpTi0RjQzdf5anD0yKKGy5NoX%20qafgSRXGJz+4/zD7KanV6TAEl3c3XOt8lKF0jX76GaFkJAypRFhrOuo8sJaeoOnv8/xe2uic3b51%20izPXlrNx4qWnR3F67lGzJdfMwiEcETbrJOYk/8EsYYC+PU+djIdQAq9ABZhlNrk/E5zw+QtEVhCC%2097XXXo+SnFIDz+G+pYy0bJx7OfiLnPn2Gk7AT/67T9GKb4SgkWvV6jsLEBum6KkgTzgZ+/ad21Ss%2084w7TvGZJnGEMXVtXSQM0HC7hzg2d60vo4VHcpUWqZadJTxd0zqqI+mLCfSaXoWb1fiiCJB1gpO2%206Xlwrq+IN9ZRrLXK2XlBc4aW61zHxk4wEc6+HDESrRv/BIdcAFGu5CadMX0u4qYLkExKcgBjulVx%20/wJpq58rsMlrUm2J4qvQxIs7FICrJptyIUrNqXlCukfxb/G5QjAUbyWALsC4cq+Sxh7n7RRHoVee%20Fh+qcpTpemNFNZUTrxmJBuFUS6FPEXlhxIVQmkdU5I8PblYtyY2bzGq1acO0tIL0nJv/b5adprxV%20lNIwF0kXDoMhSxOTHMYox+XRLTgQ+ynz72GoYbZIsguEntLqKSQsiqBMoh9qZEZauJB0xilA8oya%201LWK9DUEbteQrvDsE5mAhrMN8FsbV83XiAyBSxMyTPzghWk/fXSRbjse9oOx0EGlqSj9ID9ruJHJ%20K45TnHxA2zT5ogAJIFycQ2e2XkFHDDs22hcWIw+tUzomhXdIR2zDE0ccK/UKjMKIAjhSGaaSG8WC%204LFm7XvvvouWPhFjJwBaNc6oiXfe+VZoyW5eF6dHTC1QCUwe8QERAqfRIM0o8zNGD/T3YzpPHAuB%20pqYu/y8tsAS/vEAbBLg1qpqdRvM7QzbYFarXTQEwrxJ14FmC81GgRsuQ89JWCGEzjjonzpJ+pAa8%20jcd+GK1vMh09xTgZ4y3HfA/uNxynCEMLL+lTdV051h5m+e7v3ou/r9+4jZOXQvzUE+4CyQVchWby%20kZjiDhhi8j+ivSEYAQ0TKSx/qjZoVImFfCLu2/RnHWos2MiYdCywJj772PrDq/DV9yLOdgbWdKeb%20lPEZNEsswodwtKv0bx2AXwewn8LDr1ksiXU4f8sIiPmw+k4AmnGaMOv3JULFzmC5GIIlTaVAk7/9%207e/ezW7Sd8dbAXD3zgO4c8eS8+GgWdY4QFSNcYxz8rSangLcZkgqQD4hAuWjjz8LIL78EiVBOYNO%20fvzeg3skvzzFn/BaWFvy347DMxx694ji8Kw2eXepimesf3l3qTY8LNRRINwN+iV3R4dS4p5TkYk0%20ZJ3XzOUo+z7AU6DN/XiFBhqvp3eTAha6dIOvHFvLn6sgW7xY3KX6WTGr5vr8reL1oF+Dv82vCooi%20wDD/oOiV/GlBa1TQsypLGt0/BEnozUmD96u4R/qr5FSMN6ttpmpbQZiUB8HHJJNa8FEDTjQIMa1o%20FKEAsyHSkSWmtKrxqn2kKvl2NAowRx1iYksBgEnSaDWndK4Y02lEhBtKQB4mcL/LdF7jlZnsSlYM%20LTWestCiBymyPgD14Abz917ChuR1PEE3MnAiYQWAYjGY5qv5a776gIWvWUIWOtqgfq50ReJ5Umba%20tp3jb73PwdsK6Jau5LUoEh40AZWzCKzXDDdzxg0fQdvx0ZQc4TE2XYT9xVhIn5gmGmOVWx7WK6DD%20QSdIzQgQkeqtp9GkkBQv6aAYeuQYprUmlUL6pOUi5WJC9qTTEYrC4QoRE08EimDrPXWA8e/D9DTE%200FrUa4CfmnqE7ugIyTxJmXKQbOZhKvB9+5vfjmIxf/M3fxPam8A+DIXifBgP7fydvzAZ4V5q6qk0%205mj21z/6UXaT2gPey/rEkb1HkoFlbSfQTM+dPJMNk1WmQ/Y5gmOHTbuBQNy6+yDAKkzUGCYD//vj%20iB+tkHHMaOv0Ok4DUAzWIP4YjV4+3hjxZZ6zSep3RGGEI1HriYMKuH6dvm5wYu8Q/dKiWEBgbLLm%20Rsf70CCtQ5JB14xCGVA8ijaocZ5Co3+VDDRTi6UnJlizpum+hoYqP71MBMXdm7dibn/w/R/ESRG/%20/s2vQxCrMa8yRnfgyLcZzwG8x4ZLPqbc6j7lWg+W57JlEh16cWxq2RkT/HwZ/v7KqewiURDbrAlj%20mZ8y7kYrLEI7XN//jFKZp4IWM4Y6ncrBPnrOsUj3n2T/7q9+HOndcZwVZf9Mvrl0+Vw4OV3/1qqO%20NGYr8dG+Yyc4/BIlxkgTHXie9vKU1PXPrn+W/Bbc//jJk9m3v/Od8FV88MFH2TjXXn355XAYGpOt%205eEBncMeKMGxY0bKKPzdTs6TIYyOpc81hM31HTXRYxmn9R+VIXN+1p/SgsHh5vswlnxQed43jP3c%20aj8Mf8U9K6CXw1hiOKrX5668gMni9RSClr6lYKvHPsUTkxafC4pC285hNnArkR3pv+IrQD4+U9w7%20afhxq9Dm8zvVd0XFLHW29iu43qAkUtiP38U5acmb6WeCC4hbR1xseD2TeSyIGwc7YsGdXPMz338F%20R5cVivwOWchEusAKiiOFYnHHMAlSBwWSqOUbBcrVYJLJKd1gOwxlC2+HBXGMBAHQ0nDo+EocVuKA%208pC00HhTHHGqWGdIF4H8Bu5Hlk4qAG/MYUxomKKGVSVBJECphcm9usC1DOSMnRwBO3Au90clC0zz%20LSfypVHUzh3TAP5UTUqvt0WXihAgozXiNAsXLgsyBYdXC1s71lE43xTRboQYbRmH351HqzULzKB9%20wbrQkNVawvmIZiQoq01qqYRWhcm+tubp18/D1I9COPCoS6TKqolapEZgTUXbKcSCRSAdYp0GeUuv%20V1t9RD0LFVz7PEjFM6Mz/Pznn9+Io256WI1LPMvZ0EJRK1xGE3MPqrFG7RM0+eX5VYq8EyFjED7j%20NmiAvXOhENKp6dFAG1JOZs1RAY3YYM1oT1O2RvDbX3+Lflwk/vgc88zJE4ydNMzw4ELEMuuI3N9d%205JuQPFOPMfXTeXN92aUrl8NxmernWhieegjUMpFqsRaDVNhvCBm7jOb6BkXt59EWn6L9WkTIMC/n%20Y4r05/1NsyHZM2ipuxzQueu6Zg1buGcIJ9yylfqoi3zcpCQPTEXLltv+HCpnmbRylQg1YksM/PEP%20/zQlRgG6WwiyAMNIS+8l1vdG9oufA8483wQgOW5rS2vpyKHPQVHoyLwKDXKeEDapiDtaO1hBV9HA%20H1LOdY7IlE+uf5Ldoo6HCs0U0TUqRNNoxGdwdipgHlFX4jVORVcgaTk5zsbUb+IAdA+7TcJ/oPIS%202ZLGlONLASs8VUW/iOVh43BXLdV0VE8AsrUhDF8zibrKv7rz1XJy2BTgSuZ8wGzOFZdBMAUb5HRB%203fWHMS4/NCOUzKSyJ0BOsQSFrh2IlD+ruGUAsdc0VI2TwNEzGYAeDkdes98V0A5gqPmKfVCjJ1d6%205oYFBHSCSRuwEeRq9ZTrdPKoHrZFlCDE3xEAmTAfjYcFZpUms+qGkL4u6D0qFK1zlJFB+lbj2qaM%20oEAxyEnF/VbmithDmhp1IPJsl7y3Bj1EJac4Qd7Y5RTDHEDKMUlhikeZviQYZCw05UfxDksBuBmN%20J15ZNvQLjy/vJ40/nVaSqjXpfDMFWuAjuD34X8vwof1bnJ7X1J4eo0kISifRPAyTss+CplEaQUVY%20L9aYaga/CB6PAioxCYX0TBRJADI/BV559DXM3ZSQkU6JKE5eiImFT9ahIph0UWTI8RJ8NGX9bBQy%2053NyphZDcn7U5nXmrVHVTS1F5VuawvuYvCFn7tiE1rX4hIwz04tvZ6egJaaoEmdWXxwhBFApKLak%20SAYozsNEmCIsHbGAFqhg8rQMIzWkZNT6TqFlTcJrG7O6zXPuwxUb2jWMw04n2rJ9ZjVaCnQ7qlcl%20/k8uehVtV5AeQ/j5ugdTamEZ1O+5BOkIABJ14KtXLdvJkVFD0FU6ydbQAO9rSvOZEzgB3yQO+SF0%20jELOQv/WPxagb3DckpXCVjlq6enjp6ENS1EEP8s8eGKy43/lyqVwFKrxp6qEiTeWHnqKg/EpVoSJ%20GvpDFo0MOX4ajvVktvkE7X+PfWA8M6C5w6nMgzOMB5r25Bkcd2TnDbOmTU234M91tPAh1uzzOU4T%20MQ2Zz43QnovTFyPCJTht2rNM27ojUYY6LYQY6nj95ONPI1pmyLKRcxTDxxFpJulFiiB1o7AsLPRE%20fQ61d7XcZQSkgtzr3icqReVCZ+Lt259GpMZlim9Zx1qN9hzC+UNin3/GqSE6zg1xe+eb38wu6Rhk%20TaBVxbo2ftmiVQPsN8Pr9Knou/D4sAnTxpmLdMpy8hWpiPi7YbOeki1GRK0UXg9oVCMONSsvBB+v%201qJXsZsKq6p4t9hpZbqj+L3RawV3UtxHNC7uEdFc5RuWtnG6vn5vVxiO9EsRj1fe/rmCV+lOgfBq%20xvUSI0md3EwAhC3xJkBork1zhpoAss7JuXrBraQUISmhRSbtppdiMVNwVWaTqW2aRBI8sdoB4D3E%204HuicYSwyPdGNkoqLm1YSZwqEmFbSSu17YJGHOBoqB3XbAHqhjHrUDceUQeJdInamJ7qCH/Ls4xU%20/DVLtYDCbDcKhPRUgczTPeL4qKir4YkN6cBBnS7pbCvfT1EeAoMm8Ah1XS1Uo9PKWTMCwY3q4hsc%20tuIYZn1kK2qKpYIg4ZVVjuhQjrhptYekrfq3Ja4dKzWeCKsz1lFHCc+Omra8buHykT0LquyERjc4%20MB5V0VzUs7OWNOQUa+4k/+77I8MkonCttQzWsQSsyvYOqbg6dWbRrj4iYSO8vPyv401veVRoU5gB%20mJrsUjU6d67A91rDYhbu85VXrfFL+jACaBQnzknMWp+Xqm+l9OBTFLcZIypC47SfMVCbPn8qHT7b%20I2eOMDl1cj77JcXT1wHLfmOmmddNwRzQP05omQeqLhBONWj2Z+70iQ2H4N+lj/K6m2vOHQEMZkRy%203z0cWLcokr8BUJyg/ToKLdKuZq0G2MdzTl28HFlpCorjOKgsKPXTn/wME55TQShis0WNC09flpuN%200DO0T60Ei4vbHteIPo9IhImayiNQQfhCGMgFONZ7aMRdi1hfcLimhS/Sr+1dhAWKRB+gvM7CfeZp%20oLl2p9LyGFpmfWGNAxWIuyZU8wzCXnpoCU1YAfn6629kf/THfxwheY+J7Ija4cagI3A9/cO6HEbG%206PWXw3bdWjvFRCE596fPqNjmySBvvxUO6lvw1/d/anbiJkkzXwvFZoV0bvfvLJl8N5eIyUYYa90a%206ZNOEO8nOeV0UItGkKxhMT2FBjG7kY5SGD1l0N2Ba1axeOWVl4J288SRGZQArTmTQNSGigitfY9w%20k78PHl8lJQkdLVHxokJPBCA1QqqqilPNdssvLAcTFGpsSZ3N4aVGvU0JWcXnbSorOAfSwv9VVl7T%20lWWkrbYxHlWnnZeFQaPewPVXfJb5jVWzU5M0jaNGZ1QA0/MND4RGODo+wzWaG75mhhzaIZvHRXKc%20E2QN1dHTbhZVj5WUjLaIIPADnDKQ/t1ToWEY5maSRuSC88TIVw8VODVbc1HwNw42ZQQm8N+yTi/x%20kR75pPtYx1pUPbLACPcwioHjQkKQCBqm6ZqVZn9c5D3jCcQUMgK9C0+zPfprfLLxwA7k/mQ4IQxz%20MqzNEzHsfzgQIxzOo3s0uwFktP0+Ig2igI7B7TERyWLQYegpJhGfaN/4PULbFGBmFeJgUhNV47W/%20jtsmdXTTiRpQIAoGaRU4bzVa+Xqr1h2nPY7b011KVlrsm1tLuVy4cCZAUgHpsUAzAM2f/8Xfz77+%209a+F9mwlsr/8q7/EKfTbiBZxUxYcW5T4o9WnMc2fzxGbCyi9+dbXcbwtpCOABHuSFRRYfs6atDox%201cg9gucEIVwTgO46Y67BZAB/78gEsbBXIuNsFi50AJ6261g6QFXqYYDjl6NmB+MyBuC8+srL3Hc5%20+4Bn9pjdVXizdXoi1HoEiqhmx5xLV1i3Aa3ShIVtwH8DIKTSBjWKSVWXl2euFIAmqeiDsHSnn712%20zdNjzhGV8beRbn6K8VRQGT3yJrV8b3JKzO9+/au4xgJVUVRfi8OCOyoOtHsBWuUR47QFTfYUE35l%20gwM9cW4eUJ8CH1e2aFboSF92/vTxiD82bnkJwRDROAg/+3uJOGC19AcAmXVOxjnx+So8slEhFogP%20DZJrv/vtb0P1LAPQd4mMoKYE/LKF5C2D262jV6tlC9Bj3X9OFuV77/4OCgunIutzE4tUbdkEkus4%20BF2fr77+NYTJRMRgDxkdgUb8+MFTuOvk1HStuO6HhqaiEp7rVq13H+XmHNbPNmF1n/z2t5z/t56d%20J+bYomNzzznyCsrmnW++RZjky1hRpG0j+KJIvyurkgqctF9LWVp3WoCOfWdURtCVCerSuR8huurw%20qwRt3ja/oghLLuNgSfms3EN+OBG04WEJyysUQVONQwm0tbkzz3Xsa/ysp0tqqZV0+xQzbe9K0WjC%20ia/l94jW192P/V8U9UkNC2WJf8IpkPObOoOcBGLnASHKKQ4SuM/gRuqyIUSY/A/gFeVaHVABVR5U%20LrWoyq9qqNZmxS9BcmWF4iJKQodCftDFGZ9NoW+RvaMDkMkKRx9tipg92pgKjRi3THbV0jo1fElN%20pUi4OfUeOTOP5uFCMoh9jvesnjbikeb9ZP5ZeS2PMxZ4dfAJrC72VL0pcT5qpjo5zDgTFDVzXZhR%20vwPh5BE+bk5DxHZZ6IaRKYyjyImTp4ljJQoyywh1DkGUOGydnSZLJAddjDEgax9NrDFlOI5hx1QX%20ZHzd2FstDa+XKyxqvi6wqc30OoeZaqEfTcSdHZ2Gqe6GWvnLOF++8Y23OO/uajiF3FRqfK++8moc%20RPrr3/4qNOiIH2Y+3ewDAJJlFNPxO0uhJZsUYMyxKdhLnMBie3SaWedXzdEknWlA+DjpwCOM+wIm%20r3PoqRXdOJeM+Dh1ymp7eNcNv3LePeB2FeeZtgEg2sff3ThXxzz1wyOZoFn2MIV1wBX0jQfWrlNM%20aABa5KJnvDGeSWhxBh6c5hRa2yhzv8F6NTRxjedbZMeICMf68aMnISAt/emEvUMWmxrx9esfx5rR%206plCk5PnlOZZXEDT3CMN2SLn9h/AV/BbXOcR97pJ6rEF7CPRxuxM5m+UGOqxaa0rBL2RIWQJfg/g%20+/QeBdbX50mUYIwYPxUFtfRt6SbmXgGLbUW/zpJd93YU6Zc6+DWF+u+QCu0ZeaHAsPaPQRmYFWq4%20oYcNrKLNG8prbQ+tocnpsVgvJ5g359t9YN0LLcE4bZr+ea/POD9vGlrqG2+9HXzww7uPw8nr3t7A%20IWhp1KHBZ3D/tyNZ6gxc9NcIp9tHKTiAnjJNexXwfen4mdi/UdPF0+FZO1onm2vDkSDU5+m+1mZh%20c0QRqxyMpI+Lo5qKOGMVp0gyK2A4cDiBcSOyopxQEoCfAnwbaNNVAA+wz512QYGxz8Jno28mgFir%20VQow4WHww963TibUO/ACRS1sZYCD/plKLxqIk9CeqzIGLC6BMQ9yweqYSRlMaJjGCrJINjY9o0uz%20nMw5wELU10Q30N7FbQ6/m1dPugtMczoqo2lycM84G85ce4BYziuy9thYdiZKHMZ3kkdRW4GNosZl%20EXJBOAmHlKotqMtTO0hGJgzjsdcrbkhY0BIenYNaYpzuE6pLeWjjxQtoU5iJnvrb24sWbEEQNeHw%20+LJp9AobnifZni+YBH6kirLwvUZrQI7ayAlLDJrhJmDLC6vg6ohK16SaCoKyToHQ+tXCLVyGyVqY%20YlGfI2JPtR5SWvMqTi6dY4k/s54qHDbXuXnjMMq00iIZxBOUTXWObCuAXpC2PX5WgJTPVVu8jTn5%2069/8ihjpZyEIT5/BhOd+flmtK2ptmE7NfKZjlmgX43HzxrOIO1Y4+pnvfff7/N6T/fzJ79KpE8zZ%20Dap7PYN3nUIQWkRHvnOBzSkXGpEjCJpdaC2TG8xPFwSkhHYBLeuK+d3DXHniygRFb2KteyAq779C%20vLG1LKQpIqmGdixZsjMOA9UKMJOzj7C8MyFUg4JiHWiFbNCOcZxRA8OAuam/FLhR6N7ERJe3VHC7%20CcPqMqEBoDl9kvhoUpufQRvc5xSOabLfTIow69C06bOA6iJUhanWJllIYbz3O7IBoSZG0F5PE4o3%20MzmQXezHEjh5Nqydjx7dzTZNjjCpiFC0LiyGy2QRWrP5OcJ0i+8H3OfRU7RbtuJ3vvUGAuKtoIhM%20W39A+NkvfvZzqBOEP4J/APB9bj0I+n+OWG5PTZG+uH1nP5sdhG9GKXj/3U+zl1+9CKV0lYMKhiL6%20xTrEv/n178JBOUMxIQFSwTQzeSyiRUZH/ftpWo8oEZuc9q5DXqtyYNA6LFAgOODX8UGoHKyzRqe5%20Vmdh/6mz2VnGbnGOou4qEOogLFMzED0sweqE/fhtIrrCAyM8kV7/UFCTai4ps1bdJcoteEqNh7qq%20gLk3KhlwOUBXACz9kpxjohD7xV8CQMGHPGSynDVX0A3xmkpXMCfJced3gLLOPFZiAmOtsZSZm8cr%20VNEzqa+HtOVYxFwfld0KtM3bXIRZ1wfxRZjrYB4HGKU0jaHk5zKFuEPT8yBRtVGklN5my/3ZUCmG%20SAVkgjbJKNJ5JbiqdXl0j+CgOWT6qNI/aoBqllvnmM4KssO7OHIA41SwPvEi/h4acjgJASaLwufl%20IaN3wTN7qJ+bHOlpXG1sQsPcTFfGhB7lBAKLe/Oe5TxHiIXcZcQn0EaMEki1mFP5OqWdJzdvx0nA%20hFXlyR1OTnC6etQVEpYH1RFoIup+ytDysEY13HA+mlwCjeKXWkWAkMcHObFq+p5wa2ahfUwCOYSB%208clnAQm1i3k4OAWYoOjEe0yLQkhw1UM+CIgaehQHgWom+x58pc6jVYSjSSqOkdcpAJNVw7FDeMw/%20+QTAsO6CN0ZgzAIAUkmnefY5tLBxqKPPiavdXvRon2PwfdeCw5Yj9zkrOMa+8Y23s2+8/Y3s179+%20N+pAHyOzUGqkh36dpk7tMYAvTpIQUTBXZ0Ymw4FqNI0pvqM477QkTHKxBoLFcF69ei17lVTeIV6L%205xnOZ3nQ+JIP9oQFagNbv4RXlhF+H3Ae4m3Ko9KbqFsShXTgSz2tw5A0C9YPY8WsoUx4rNI460Vq%20QivBsDCFiAJGekVhLah+8N6HcRLFt771zdBoPv7k4/AxWGj9VU4V0eFntIrWwgnAzBhxhb9A9AgA%20m4ez99AAi/B/7djF7OvL1AKZOI+ToQ+L8V62y1x7Xt9pBNESZ/+N0eYTAH0Xc3QMzfwxKed/87e/%20RriuBfifxMq7/vn1UHosACQvu7Gyw2G2DwNIdZaZvr4KQHvm4D/4B3+BgFqmQBBJLvgt7j/AxzC1%20xpxZW0ZhrTVFsgoH8Lq+jDThNIXg8E8cPxWL8v13P4i9248/QF+AEUdRpoC9b2biGRy7ngKzStr7%20LWK4R16+lk2fOpNNIQi6oX2k3BTaw4SddncjJC3OZRVFE4Toh0DpkWL6ZJIz2jyChAs6F+O0E31L%20eVRGlMCMPZpODjeKJhXCSs7qpGcWYJxeklIM1TIHY2kzs2RjLyDUVfJSEltOIfjsoE+S/ioGhBYc%20SplWcqR1JS09gseqadtlRC4pt5WXg6hIASHpn1yjbnRt+hBgPD6OJGQgI8LAEpJs/oMDCkZ7uCgN%20cCGoJVmExfhF6wl4hFHUTwiAVLMlFAau0GIl8kWGvoxCCxhXataZQKRZrqbsRBupIFmus8FoBUve%20pNNAEkVgHOcQC9barVtysXkSRIr9c5t6JA5xyjgQddp1o5WYSbdn3C1m8PQMnnH5LZx6k2hbHmUf%20VbUA5iUypTbZhGnyjWYgc02ziEmOsDbDpHi2C0GeMULE+F0nn/3Zx2EoZeFJBx5Ds0Qgf5QI5N4u%20LrXyVPAnP51AMAgnnyvEBIR0Dlwcbkgbokh4N1opYGnMrK9r/gvMFgM6hdZ3jONp4phwU9fVNIgE%206GdOrl67gml+HKcJURAU7zY2Vy1XwTCG5ieXrgPHpedhosE/s/AVwEPQL1tcq4f9Evyk9Qd+8+vf%20MN8pzOrkif7sG3jOPaJcS+TN197AQQZtgGl6kc0pGJ1nXN+EdxWIhujTNMJuwuxA2m22Wz/apiZ1%20WHhuFoUgQsbvcxf7s7e/9Z3kONVkMO5ar7wbMjZMWqDSY1oB+wDacwq8P+TopX2PZKIPc1gGporP%20A6gKGPvTZXQH87YIjzoFhaO5bNLERx9/EhqwziQFnUkyd+89CKFtSJnRJ67HhQdzcVyTc6jAPI5Z%20rjX347/5UWTeqdmYTm7UgZEnS9AYN7pvApas1YiJR6ANcpwS4+RhtwP83JyjtjXtO4isPdYI0Rob%20rJ1+6TnaZ/W3qamRcK7pjFOwGBYYNB8L6SXO+9NnsEoyzSq0kVXU+hEsn1x/hHVJSjhAbNSKgGQo%204PQEID8zEeVw5zjx5CkCYIkx8hAGCyG5FtdVAKCOrGoXVmUezqpzVievAk4aZgGn4jAC34gMFZd7%20d3EamixjZbtvvEPkEnw8dad3wAPXqNc5b1oeTrzKgkL4PoIyHLLsT+kgwdpThaIqY2TfplTpoNj4%20imgrueY4xcfaMin6SAtSpUzNMoWd+T8dD1YiRVOlbzUfF15+9h3jbrp64nyTEzGi/yNYIJENUdaT%2056bVl+rS+DPFO3NdPNrVXMtV1DEXgb3hnBeucq09X9BH/sDnlTLqrLJm+ug4QekmVcgnmmGXdcER%20W1UMkFajNcjfn1b838F809zRtIm4WABxlWB7K4FJBbg4Xb3Wpxgg+H5k2HhDTB/CfnSYKbXX1pXG%20JDSY0x9F0zXZ90PDmeDeVgczSaPHRItxQIrNqZfYcCc/42LuZ4LNzJOfDhKe4Yg0WwPTOYNOr/TB%20/pNs/2Q6vseA9k3D7AA/037ViPvQfBwHHY/O5iCF6oNyN0oA8NbsF/ClM+ROz5+/lH1EaNBNgHAa%20rnKcimZRE5mFLj9mksIYloQppOH9VtgEN8rCyksI2kYjGQRXT3GWhjHJRO/yjmY82qT0gDGucUKw%209I1CxMVu7QBMVqME9LA7L2rF9t7sOWNUF+bTSSRW9lJwCMxuAovpnMJyUXhqco+y8c6dPc+GuU/a%208u1UUxcnztvE0l5DAxoAXE+iQVmr4Nvf+SF9QNtintQb4mwx+rEPmHYbKqjDDQdfpJTgoTcMziiW%20qGOi9zwOL0gnaMwDICnMEPDxaHh476gJEW2Vk89rc3DNLn4LQ7seoUUeJzLkJbT3sWFKfpItppOu%20jzU4PXWaGOfJAJEt2jEQ9UQmGb9HJJc8CL/GM5xehuG5p5+TGj0+SpYeY9SNo0uudXh0ILtEirDW%204SbC/DbV4EYYPwX3hx9/GOP00jeuhoD49JMbADSx3YCR9JcFkBQILB6AGKqFEz+OA1BPWWdrHiGF%20MPHk6gfUihj6ZDiKt7u3PHfu2VMOtyUG2fm2eNDf/uJvI3npDEkfb7/1Jlr4pbC6jPm2/MACa/op%20n9kllPTDD96nLzg7gxDLstdfPZ398PvfCFrmIddboU5LwG+1u6HLhKly/t5TynbqR9gcIHQyqgZy%20zJQHBDCX1u4wFHT22RrW1WNSxK3Yl6JntrnPLP357XvvZt96400EMIfLek4f60/Ho2Gx1h/RyWux%20+Fto3J6bZ9TNGeieVA8ntmdKgIpDFjZSWVWsKt/U2t5Yx9m65KEPlqRNFNpwpMSnU3lSlIexr3ls%20r1CXc7zhnI8kK2mHiJ1Mhwzn5G9Y5OGHSpXTZACivAMjaL0bAXidGi8qhHFuobWg41inw2DcCGEF%20Y4Y6QD7X31viMRl4iZs0j83sHD23AwNUdMIklJf1QEmdVJ6QYNprygJLWloqFuSBiTgQMJvMcLPq%201WU853bSI8WL45WsnmVQuoClNuKx8mqAiZ9FizR2EgAzzEket4+/Q5tjo1sycYxQLuu+PqIdLlZD%20rnTKrctvA5YX0VROnz4bVInZSv7sI3RtgLPFl+G57pA++uT4XBwtpPm9z0iFt5SJtGjKuOFqLKrt%207XS8uSZiaKloDds4R+boi5thCMePppcRAaHlA5jbFiACZDakZIz+8OhwhQUCaC/C98jCMjlFAe5C%20U8jxbDfHE4p3uzA86FKgVpNUM1QjtHi+tQNcP4K2kl2tSTPPeVIjfoJ57fjIa3sqrlW6puO0CGgX%205lPvoQd2mpxif3ahnwQoi97c5fj6W7f3snepB6zQmJ/jLDc2pTTCbTLqpjCrv/7aW5FFt3jvSXZA%20oZtB+ryzTvYYkQl7VsGjcZ6j95i/F3H2rBLJMMj1WhX6DizKLqevQDDhZBsu0joc1k32DDePpldY%20uT5CGEVIn2negHTUiE7Uzj4bKvkSOG0D8LpB+8bhXScYo5PMu6fAWJxJ55Gbxz4+paCOR8qbzOBG%2091h6+6YwdTI8isj0+dMU1jlxAn6ZtX0SC8oTnT1xxMSim5/dys5eOJu98ebrABUebGxPtUnpiSeP%20OMsPcHkJAHLdDrCBe5+S8rxggX/CLD1yCECYgtcf1OJjP21Q/P/hEiGDx5gLi07xfOO1V8kWPAm4%20zJKo8YzazHLcJrSsYoXehzc29PAcz1I4GjvuXnn99SvQGXeyX/7iw0j5HtYnwhjI91qY/o13Xgv6%20x2OanjAXT/ipw3fGms8mEnGtIWuOuUqMyThSJmqWnkHoMUnHj88HJfLhRx+F1mumoRq8+/29997P%20TsM5H6P/noaiomS8c4RwslY9pukZWvkNshafzy5kG0MmHSUe1kQVqSAFvJa3tTZMQFLQSFVoqUQC%20SRxPJmVKqjdAbZhkRFAF9ZROV46IMDXkoCpSJEbkEDDvUb86tOF6fVZpkOu0csQ5cIo9WouO0QEC%20dgEn5iKncEtbyBSkYNsWgOw+Dz7a+4bKnrT4Fl+9cilF3J+amhsojhVhMAUbOds4BgbQM/ifCKCQ%20cIbdDA+notWLaBGCRUrLzGN3o/wmmqmOJXrh+wKRm+4pRP+6hxKyIKwFYDnNHhaFyQM7HEKq5paO%20l7EQjbQDFbl0BgL+TpYbTuDX7FfLVYvyiB4XlhtRZ4xB6js4CqY4L+/YNFw2vJ4hTV7rwlMj0Vy3%20xoX1aTV3B9jsarOCm9qmqaGeuty9ShYXYDdn1hgLRkk6CigHIBMaZIVMgXiBwdGU0lOnJ3UM7SOq%20gqHFrKHpGspE3EYU21FT9MBHD8qUaomTlgFZOXb5aHnqNzg88ywOJevPqsWq8ZqsUKSI6jw1JVnh%205jyqSQrmcvWraGE7AN0qbYrjgWi/cbdW/IpC/myGOFqIRWLlL3nr65/dD4ffpQsUynFDECY1D+A8%20Xvg8W7yPSUz42B79WIbqeQL4RhEj42QBp6c4p4xnhqUJC0MhbLiRxk6El0qUm7RhoX5+ptP5kiVZ%20fJX5tAi4zDm35FhJIZd+6jmgP/ucOgrM3TT0jDTLNHRNJJQwd4KYAtlIBDfsGBqd3LAaksK1l00m%20/78I57pAuF5K7oOTZe3f4dAChZwtfOnlC9RuvhwhhKExARwmu9ykOtor115D6bgaacdymgoEj05/%20cAOOeI9TWLC0tqFRuhhnlb0+IwncCwDyy29eyP7kj/40FJl7mO+Xr3LKOSGT0m33SYnW0fVnf//v%20ZffgaP/yX/8lBYvg/anm9gZJLNYQcWBCM4x1634y6QaFYkrn2z4WzjNOZ/kVERnfiEJCRgR5Ssll%20MgwNPxN0FYZyqe5Box6mWAPGV3tfK9RJNVoe4NXXr4ZgtJaJ5UpVWBQGq4RengofkmMnH4uiwP6f%20g0aSqvHAAemR27duE2lj4tBmdveWKd0PmAMoIIUT7VeJmCTaYxVsefQQ4Q0VE/wvNzYueYRSCZPU%20pDGKZdDz7AyRFdiwvHWQuUaM8U8+mZS1KWj2smg8o1PtO2duSyutCozFmktJbuxO9oh1SIZZI5bj%20PUd9FavoadHJu1uWLAXSHf0VEVl5tEaAcYodPfKLIAG5G6SaVangsgyPcnEZHuTJFMaUnqRwtqdD%20qHDHoX4MruFiwRsDij5mAi1KwH08/xgt6VEsYAGvZ4tYX4+WZ5cKdKc5LcBj26/D02m+etjlcTQu%20C34/e4S3HzNax4JtuMOiPwU/afiRdReuU69Vc+b8uYuhmWtqbvP8Ps5R01T8jID/eSInoiCMziMA%20eRxAnJ5e5Xs+6teqUbjgxwCuY1Qxc+IEVauf3buPBoJGrjZ1F2/6NijrQZuahGYjTbJgFwEinVDy%20bTo55dYsDrSNCjfMphf4dvjcMiFbDzCXx8bRwmjLNot8mISRfrIONcXUbAXR0HIZBzeMGoIxpC4u%206+CqBXgcjkcFWYinqwfg5z2jOXYBcI+rP6Z2iHPI8D5PdZBOOQawh9aK8KE4YjYOtzt9DGFCyN8n%20cyuA8C3SeV8jM4oDNT2RA61ulfu+RF0DMxPnMHkt7nNcrYe5efqIiBTOm3v24afZLKFPs5jfFOLK%20hifg9RnAeR2xPCd48gBQij9xgWGE8sSW5JQekq/2fSmO8KSzqPfy6JOUAJM0iqR5JBMyLeEUalT8%20nmprSPccMJePKS05F1Eao54yDIC4Dg3xEojVBEX+Hrz5aoCGxa2gvavdGb0jvbPBtSvwx2vExPYP%207GeTANcbX4Oiee1SNow/wKppWnluylWVEuZ4EAticvoYp51AVaBN6iTbJRHkAVl5ByfkpQnv9Bk2%20mnVivLfzcuXqxeyNv/cnHOn0FwDPejb9CdEstHkFbfwTisxbZ/gadSDcb0bLaD734RtR+1OQSnYZ%20/fDYU0NYK8NjJLZElI7WKYJaTw6T8ezpQhSIMoV9AZrA8fIEcM/N+/SzD7mfhzxMYhFyiCtgrCWq%20JrvMkVGnTiXaT2BfWaE6IOttbQ3aC8rQ7NQJwOqR/gMA6j7W1RpROidRThaJXPrkw+tBtV2jn8HL%20sp7OGmWDAT7Sv0u8+YU49DRK6EbFRJJ12Mjz/c/D6StmpfKyKd7fUFj3mGtUKa5vR3A3HDOl/Scq%20MSK1pBPkvmm55yymAlwmbjR3mxXKQJQLCC06lUiI5DYAfZD969wKxjGI4ZVrAcZeVgHjpJy0huJg%20BxDbajJQCCuYi3o+XXzr1tE1RpSBsRi5549ZFUutb93jZABttUwH4Rz8Y5iFTIbFmA3ylvsz+85h%20EGAjMQBpecKcd0wgNULjOA22n8QkkOqQxugnLEiN2s8MIQjMABKc3dQ6Ur33FJ58w9KM7JhFW/W1%20ZTbY3Q8+jnhbi4Nf4hQCzU6dDYa2Kc3sq59dgCeNiaStmwBJH068kwCbJl1EiZiowSQ/RDtWTLsJ%2019Y4Ep12GJ96jEWthrpE7dgx6A1BsB+tSRPXcCU1UzWM659R+YvNu8Uka+r14RzpjipiDjmeb6Sw%209IQcar+LRmcDm8pCRCZRGEb1+PEDFmU3G+Z4VJHzBN2eLnhgxlJN7JMPP4hTpcesECfl4xw+fBJF%202QX504z3MNd6AsUy2qtF2T23bPeVK9lbb7wVfXvGvOkjuEz6r1bPTUBBTcU6F9IkF/qIZf34Hs5C%20wu52+7JPb5JyjMZyDU55g4JNv0Bzf/BsPmraCptRylfNRGeIiUHGrVZiNAsN1ylJJmQC4QTmKTEg%20bMYUJJ+wOObBr8q//BKn/2oeM37GNS+qCZv9GBmQKYlog/7ink7JJ5qaATHJnNWe7tPhy5o4fdqi%209JZIfZy9/c4b2be/961I7DCLDq9BpCU/AgwF8p6eQTS++xwYaggW5jOKi1TZY+gEU32d2zCjeYZO%20653tdAadmune2RkotYuhsMwA5t/7wXey3/zmd6GVGwt8+uRMCGiL+usPuACdN46FquZqwZ9JojDG%20iRL5FMXDiBGFkAzNmuGJUQc71ROOk2T4W8VEH4v+lHHiiV1fPttTZybZUHLFQRtgGVpsSsefpWAF%20PQWZGYK3SH4xbyCFiFkHZBDF5lTWTUiftTK2NH9YYw9vPcg+/3QuaAojQl5+6ZIHtodg7zuZHHIK%20OUvASqMJfoKqse17jM8IFrCx/EbRpFKzRj7pZxEA+d2FEqFm+ib4bJRASHOpvsqnonC/afaOgZz7%20AUpJ4aBrrpamDGKruXtaTSjcUhIAutFCZl/qD1OhSAnaR0Ora8xvw+zisOQ2v1LZMQGTzSwPK1nu%20xAlcRkYY9TDNojEkRmeazVCaHccsVFqY+y+57SnNkf4puE6vh2SX6nAydXopUR0czV9P3HWwE+9j%20MXUcNGhPPtf6s475MMB17eor8dlUkKYffu588F6anJ5CcCacWzPRBs0unRUWxo5jYpgEnQaeD2bK%20qELjGZtmCNC8hOaxTC1ZM8rUMnc87YCIBYWF/RagrKqmk1CUeA6tcg/ztK9nHnC6FCAurxSVugBZ%20tRWdN9Zv9no18km0NEO/LDvYT1sFBwv59E6xOHE8edrBoB57foaz0bA2eUpD6eTBEAouUJ1ipzHF%20pSAe62xk3IYBkLNQKEad3ITL05N+AYF4jI1lge9tYnzH0Simzp2IZA0pHiMR9gziR3g9Q5v8+d/8%20MrukCU586PQkiSM4iNT+3NA6Budp+69+/ovsFPNw/gCTEIri4pgncePsxOS8tUj0gke7k92nI22L%20Qzx1WKhAeBymGvdBxC0HxRfRKKlIkPWiEyBGvlHC3ViGOtLDvFNz5oKC0osF6nW5glPoyVFaM+Ki%20U3hSCuTPTxAWjNGmjGcOdIjszbQrjGnvhkv3RBbXoaeHvIY5fvPmZ+FINfzxQwT7MhXXrPvrac4v%20w9U+eYpgn7XCHUcTYfWsLK3Futbct/bxGmN8hXHXYpKCMmomHJfQN0btXASEBtCA7xDr/Pl1q7/1%20x5l1N1mjKicTE/KhB3HCs9FEF1AqtKJUhr7x1jvsx7kQ8p7o/N7716EHt7FAUriX3yxb6CZpRG+T%20CvlHPWJ+DsQpJjMoUrQLesCjtXTqWoRIuktOX0vLayzzKkgq/F8hachoD8phB0Vj+FsX4Pra5SvZ%20utmUjPNp9uAUe2Xv+Gb2aII9hUBw3U5zXT8gbHjZOI7IsAidC08FcYKNYjJzlhUwrCascDWKAjyJ%209RAacgoflcozbDKAN3fI6TR2jajlJ92Tfy2ypAMYy3UXPBJMWoOxay35j3JeIwqOWaPZDNEoY+QJ%20HoGyCoQWem40xYbxGYVHO2qx+yEq+TNZZhwZZ3ni3omIw9Tzf/cAE4T3TZ+U1xFkBFkdFUrNQWNH%20rf0LmBpRcZ4Sk7NmgmEqG1fpZDoBUSvCKl6YUUY2WEdWL658seBYnOyqyWigeMH7dhkWxvOuUzg7%20Fd/pCR5Q7TMiIAynwqT01GQ19RkA1SgCgctUVs1Va+zKhXm9WVMS9Kb6Gmy+Rvv0kk+ymJTST+Dv%201ARnEEqm/6o1m3VktMH0tEfI43hiPJ4ipCwicwGH4u07dyIRQQfengW4jU82osIIBBag9Iycm7Ve%20d6kMM0Qa8JAUClPsEtqnDUOmabPoNjiFBJ2EjDQ9wfvZSITFsSngSC3r2WPpQnjuk4z9lFo6lb++%20//bbkcJ7Aq3iHM5T8W0E2mUcwWKwv5mJE2jHzpEZe8Z7/vf/w7/JfjdL4XQqrX3j229lP/ijP84u%20Atg3cYwagqT33blW0/yr//FfZa8Mct5Z71h2dvQYG4Tz16COnnj8EjVyRxBq81hMBUUxTGytJRod%20b4WNGz3KmBKtsG2tDforv2+lsjgDzxNCmAuFp6FcW6jVVJpMX4W27BFYJhKE3pxQOfZFnnbqhovi%20S4I6/0VsrR5xNJt9K+vxetAkfDSC7fPI+0giUsMGSDx6/iGcpfG1H32A1rmxHOf4nb94nvcxpbn5%20DEJr6xTCkSSHOQS04GRRrHkAyozJa5yQfWFsKttf0DeCJYUQVqC7f3VGhUOJNfWcsXtITYzPPrrL%202sDSGUADx3qwO6ePJ8vISIg46NYohYjx58gnLDzHU7Ne34VUnjVJpBRGUHBmcZJNTmJtjeEQI/rG%208YyEFsDN6AYtWH0bxq0/hf5K5VtN9LKkKM63cKIPhzPtBvtHS/GbxJe/8vLVyMRUoGgdq0AZWTHI%20vjbc0Yy+KV47jiW7ATViPexjtHeQPTCGIuc8p/hi/DRm2eaCtS9oqLTe1Uq7nQ9DMxFwCjktW+uY%20D9JelSlK28Szezx70wp8xp/rMEegdNGeyEpjz69xcvUaOKMiIDVWleRhYjXUU+O8uhxAo36MuRHh%209zA7MtTkEAQRb9xKMy6suvSxVpdX2tOrQ0OHhZlfnrDwbWI/BWOLiejlNiNF7kYN1E1mvVvN8k3D%201gxmZ9MLUPMsRitJTeGB1cwQUJc2oQPQMqzZMABfpHf6AdEQd0gLdVF5Oq0bxxav7CzHIAtixVlu%20e2gRAq1hLS5Ai+bInYb3l211m+PQBU9pCQdeEFZoeDKuC+AlFtFp2voe0QLpLDtMdQ+65L9U0xW+%20l7AjT1nwp5zZia0T4VC8cetuhH0ZU2xUhHywNIOeeQttm+AwRbKEvK4VRVcx89VUPY5nnA2wzYLe%20IDphCCQYoyD7yibZUyah0EdrwR4QArhnnVm0hx408x24aHd8F2PeE4uAiTeUjp+b3MdCSVO0a4RU%202/OkHOsEnCS2+epbnOAMD3iSPpwxG4rQLvlMK73pnBEIPebGRT7ZC7Vw7hIbfjq7cY8429vzaFe/%20RKsfxVz+AZvqHE6X2aja9vYrr2XDoMMQ7Ryl3gCh0JiHUDry/GjTrzBNTz/7iBoID7INqvtdPk8U%20hynpCC5PaNYRIkgMQTMJzKKekRXSVyKAQn4VwDADUB7fMf2cynHWW3jO0T8eURWHsLJU1WjD7Ctn%20MwnIrK10CK6l6hOoun40KffD4pOTThxi1EQIj3+qz22k0BZRJrPPdrMP3v0IZ/UAigQxzEDDCokN%20OsNOkUU3RciiXMQT/Bnr+AHcnB5V/9qrr2VP4G0/fP9DQsSgHNBAXyNJ5DgCtZfPe5hAit9Kxe9N%20Sd5gLIdZCz9465tBB9397Fn28DaqLNhCDgahbQmozPwzIsZYcWkEed/bgOPsM8qaou2phZ+gNvEM%20J4oYSnmRg1/P8/3IvYnGq0Fnv3SmuWeOodkbz56KfpnEs4oyBOVBeVAtTF/ztBJPEnHvGTUk8F/G%20h/AEqk5nnk5euVtjqwdVJiwqxRrb2qOKXc63qoV7asnCxFx2Bd/QqPVb1CixGlX4XNeEb4W2mzJv%20UwzvlpNraQTDOrEqpAVG6LM5D8MIkT4jcYw3p907RKM4qKG5cyKJwqYf5YkNYjByxHJb2N71Fopu%20joWpkLyCuIzFxR8p6iGVvjTO3YBi26P2LmeR1pL/Vo5gagjpOaOWv9ekVH6TT6oZM1kG+i8vP4yD%20Qv/hP/yHwXPpiBCcTiL19EYbN7vKtYKn2mw4MwBKw42kNm4CjEZe+FmjIQQow6UMcVJ77uphU0va%20A9Ryq5qKAqfhTsZOWjc30qYxK5WsatpOmrV6z2NGyoHGiQrwaZqxBpUbIG4bDYUSZJ3w4304ndCW%20V1l4JwAH3MgR2iM3baEf+VP5NDnXM0QqrJFBaPsfkKk2a61WOCszcNQyPF9NLts46eEhxgDJG2mc%20fBvAPgq3ZkyiUl0T6ph1cy1wLr9EyGCXsZNosy+9dCFbGWIDQPOsAXYkU2UbmJwHxOHuYiGscp2A%2066Y1CkFHxIBpxAC0hWI88fcxcb9ybV971WSDkxFZYUHwMRwwWhijgFofmhQTFIsStMv2DDdkA68C%20MjphNunnEJrtCeLAnw5TiYx1pqn9s5/+Ci3/pQibcjMa/vd1PPcDWkEAyPpn1CV4ihALk5A5ZA7O%20T1zMXkejOwCIdhiD04R/ncXJacSB2ot8XqrGZZSHmYyAEgJln3Rw2zFNFcDTkVChM5NEBf4+xenV%20ZiJ69FGk/zJ2ngzy6DGgAoYrt3V6RiyplgY/R9HejgNeHsppWOV91tINHLHL0A3YIzFfapWnaFsf%20a0mqLdYtwnd+AQWBsbUNJ4lrNzlhFY34BCFwWgyvvHqNUy+exIGkD4kmMUvvGc7ChxTT+Ys//3vU%2093glsgYVwrNwvE8JUxwbGg8Bk5EsoTXiWlUxGadYkiF+V07PZG//8M9IHLmY3b9+F5P9t5ShJRX7%200pns9PkTYbabXi7/eZYIDa1KY77vbuHYZW60DD21xTVows8s62YCJ+vXqDUyw1q4R3W9J4TGLcxv%204ND+nHX8LAodWTLzDqU6b1z/lJ+PAO19LElCN9E8PZBBbXiRa549Zb7XErb1dj3Ifvyjv46aFSo6%20aspm4Z5EWLvm58EDrRpDX8c9AZvxPW0EEv2ZQdGhAF1K66dPUepAwWlVf4RbpBwDgBaTsk50d0Rd%205Wa9McYxRzgOPTNwHec2CpEHqHrSeMQDC+xYjkMIGgOIlyiMtAh11GVmLjRIer9a06ZS5zjZVAGI%20xWupjkwC6/RaxQYLUBeUUzSEFIk/WvMO4f8ICyAVMGiqT8dF6f3eJ5i48mxzVJ/6+JPrQT+opfzu%20vU/CtFvA43uByfSGDqzJHkoQTZNUhJvaq8Qim8KcioQjWa0EpjYbXk/qCcCl9Q+sxLHq5ylYPYOW%207cBaOlIa4sE9zhTjWs1qJbkl+KLAPQNgDKcArNklAB3g9HGgPcVYQDVd9Aapo3JZM2jlc1AIaoMK%20BiMvjFIw4kCHn3V2LT24LLGGKnWa5IGNtZHsfZxgj9ByNHmMg5YquXgBZxymqKmvamimALugrNl6%20EmHjYlxg7F5HgxwACAxHGzW5Qa6TMcMezEbkTTHJTxK3PTnIuKw+ximWCtUccxLQbo8Bjj2THvRp%20NTxLcwL6aAUzZDS6YE11NsD+Q84v6wZsv/X6W9lljnc3FGsIaqmbsQmUckLZmAFSjNUelNA2HPMe%20myhOJbFgEQV7JkhmOTE2nY33EWPLPPVzWoqOovc5kFT+8BihPKNqsvR5l3jVPjSW4CTRtnbx0O2Y%20qs5nuuA3z45cyQYvnCRNmeQMQ+EQ0AOGPKLRGD/rnHl0UUoRt0KeqeREg0jrrAM3UcuE5AquOQt1%20pE9gkuiFi6wR40vNiDOCYAxO+NHj54AopjRYHEf/DHZzrNOJ7Aff/n722rVXs8sXr8Dh92f/4//v%20XxP9gYMy2o1DC9CdmqTwzrfIFmMtGCa4yHpckvPGGpsEXE5RUc2Nra+hb7Ub64vQQiyYceo1XKeQ%20ziyV1ozPvn0H7ZQaEp999hBHHvVOSPyxqI/1eu+g1c+Tpn3xa1/Ppk++hBVDjDlW3O6SZ63hF1nd%20AjyJHLp2NepHWLHuh9/5bkQSWRnPQuwPceItUPjq448+z5ZeWs4uUSRfBcTInm5rtDDFFm2SkjKa%20R9rgwb05wuwO0EivkjhDFiD+g8cPcK6T2i7V4anOxvS7Xm58/ln285//lv5vZl974wIORWL9EZ5m%20Sr75xutE01zk2KoP0JKfRpTUDPXLz5r+TebdczDBtWgR/QWUAiNDtqzYBwYMAnoT1k5ROFoAC2vP%20CoLyrV2RMSfogg9CXlSATGdpqrbqiBMK/Q76iftpveyjzOygtcjha1Xo5xk/PkU0K8lECGwzMKfw%203wzCc68jrO5QEnYeqmnIA4vlptmLKYqhqgoX2XdFpbVyBbYIi7PAj07w8AtaSyZ3vtnUAn9b+ePy%2067ysoCiiXkYuAsq0RQXS83uyrq0dYGYdqaJwroLaTYK0VygBaIyfxYAe4dFXQlzAFHoY2sHT6Khg%20qAars0KnnMVsPvzoUxb63TxhxBKXmCFIKs1XIyPUUKUaBF/rFqj9WKxFHkuAl1taIATLKARfM4nB%20CmlWYvNzhrgZuyt/rHmrJl5wcltWkRpM1IoDbWSFjjDNPhkf+UqzuHRcbN7YZqM/zJ4bSUBK86vU%20X41kAD7nojuOs896txZMkiYZsBA+CQNK7xEdHADIKo6y5clZtGNCX+R10XTD4cf4bAPIVvEaxRKY%20xHQ1Q2uY4uNyZhfgHA9OXMien0GrQcvwNGR5sgFjn+XMGQ/rKLhAPv/ks2xVusPiLWjRcw+ehBbY%20T+U8Jco+9NIWY7pv+q0LPThVdHkyK4ePUeN2vS/bwHpYIPxIR955nIGvvnSZtOLZbANtbg2wtmCT%20mWlP0CymdHK64BFKfQjGVRx+e4ZysU62zZiyyIssH/3p97w1mNr9OMeOpB7GdcBj6tGGeyy6zreZ%20jqbE66S0dKfrxprQe2xwE0Seo3Utw0PuSh8gHJKmjC+AcRGUzxAWdRoz9LPrn+OMfRBF/s3MGsBp%20+A//4s+zf/T3/rPgyAV8I1Y8MXyfKnoHpNErXFO9bOrsohV69NLCEglEAL5nQhljblSNB6WuoP3q%20vTeqQMH6y1/8KsIKLa60se2hCOkoLxO+3OAP+cxtEi7OMp6nSDyREjCpQ6vLTMcJk0+go+KcxB3T%20kBGemNyD7JNnjLs1Nvp4/+rZS9kiff/JT36e/ebdzwERDyjQCTxA6Bt92MGXQELI6VMz9A8KizXx%20v/pf/jcIBgoI/fxXEcHiXD2kENB1jk+yKJS+mm9+82VOiP5OKEZWzNOPc52iTh9+eA9qbSz7sz/9%20YVhURgzpVxG4peveeO1adoE+SVmcohbHW2T/SS09wnK8xxmGc0QQDaGJKjQHWCdnUQjeIsnLyBWT%20PsQV69gU/JJwqFPOOJZ0erRmf6jDAU9WnNOZHTyyABgoBk3HZ4yZ96R359GTaMbxVczgq5nGcd/l%20wRVYeBukqN8hA1G/SRz/pMYd2m2eniHG56qpLFdE7uTNKBzCtiUd/ZTO7xQ/itIModEGn5y3NzqW%20ojgOf5U15oTA8Ur+cjDWFUU4J1DypBAXaa+FSR4fPI7c+IsXz4UXXPD09IQf/tE3gvj3LKwxgFct%209TGB3y5EHRZqEsYSL9yj6LYDYTC5pR/RaiaoeWwih3SGhxp+DbPXe3z++afEZn4SczKCA9CQuLNs%20OumAqMDF73Z2aHiLmrJvRpESA+P1wguuUQ2ORXSLYPIHLEBPRg7H3+AlHGse/QP40i61Kh12gp80%20i+avgD7G84aI5ZS/tB/PMTsNGxuWYkGauoGW1whcZ+NdgnNe6l3i+PTPURR7shGcEcY7bhKCtIt2%2050K6Q4EVgWSL68/A106albe8lWnIHcfc9e8rvSNo7WR4XaAoDtzdhDw0Zp31bruj0highnWxRzD8%20hjUSAFbPnFO47AMyE2jWFwDyecDhb/7nf5M9B5SmoF8G0YpHPM6Hzzt21rQ1o0kh2U043A6nq8wS%20bvXbn/wkHHN/8qd/LzsNEL+MFnrXsptUP1u3HgL1Oww/8qicbsBYbUazcVtnJXTVJAJ1iJhsk2y2%20jfLgAIHxKRJLdEQhqI2hNk5VjffZ7GY2hGk5QxSHSSECmhaFRdj3dhFarK0+C8SrNbHRNJP3KRrl%20Rp59QqF55kGnl34JtWXTZ62FrKn9wYcfRiTNOgkHs8zbBkK6LwpCwbkDwJYy3SA70Ay6A08Op97w%20IEL7IacjfwaN1o3QnOTEjZ4+T2ch1hhFQ0+/2ZqCseGFkZnGtxXNzI4c4DAED0TQAal/RN7YimJj%20KApjJ3CqIawekmShHBwf64oDPpcID5vBMTfBnhD4hrbwB9BfBa4HJKzAwVtFrZeolEEO4l1lj8gH%20P3y0Q0RFF8ka56MI143P70aNlwOq3b368qtQJvNU0ruZ/dN/8k8JG3sllINVElxMy/6f+v4VSsY8%20a8RTRqzzsB/03zHWnZzhLdK67xFLPYSF9q1vvxzW6VMr8tF/0+D1Fbz6ylXCHd/I/sGf/3nEov+C%200p0//uufxFzJRxsJNU3fekE0rc415vI4CpYhdmgVwT2HBZTI1QBkBaGHuAYYi4TylwGOOaMqPRF4%20JRimOHWpi4gqYj0jmmIdmWlqPP9JFMI+BICIunEbJz2CTU79IgffSu14wvWeRbPAscRM56CXA3FS%20wFNlxRJORpP0O/ieFqlWW1lzrgBvQUI3BOMaQjr6VX+PSIjSAshRugLO/I2PhzhhyHZzzv26Bfci%20H2pnjsFXeu7V+797P5xfOjYcBDm444Q0LQFuSl3j/jTvzdeXN/JEgONEEtzGxNrkfVNRo+wm2vAS%202qROHdOqjTbQS2pInHGYasLWBBBIDtAsBH5B2GPGZzk4MWKVo+ANJrBH0Kid87eOBRfV3PN0DJIa%20oMNiJtAm4P2IBSz1MoLZNTljLQ1O+gW89HYvwt2uIkCekGAyy2I7hel7DCExhM11QO7/EAkBQws4%20CzxokgMku7EWLHM0IvDBD/ZDf3he7tAQNRAAHEsJTlGDYxJHzbRhQzpOzLmXS1XSO9lYBF14bPat%206OYBpiyDHq7tIwJl0/oMpF+qvXdhKk7goX75HGezDeItN0OM6I1f/fVPswn6sY864Ty8RfF3Y093%201q0mtxhhZHMLpL8+uJ0tEXO8Rh8vkLhzmhC1UcxX9PPsCmFqt/qpWXGAA5MNb33aebj1Swhno2UM%206F+LOSX1Fj51kAI73cyf3mnyJ+Bk0ZYAq3VAzfH29Ba1mC3MytXn5PQTFmYUi+NuduHFgQtEdmB5%20GGrEBpSu8HpN9qC48uxJtZKwTjiJ+saNtciEtEi5pUQ9Nmoap+k4fOQjONybt69nf/Xjf4vH/52I%20H59fgW9epVZFFxSZYYPW0LU2BIKY8oSRybWPlj4357l/1msgC9Saw86RoXcKIUHAk0fYnQr+bVKX%206RIbnuQnaLAV6DarCeqs0oH6+D6CmfenUWZOnSLxxCQglIlenL097CFprWEoj0ckLPXMjGbfuHic%20sCtoBPbFMAPpsy5ffTX7I5StB4v/32jDIub57OwNwPkx64eSmbNLVMwzOmIvKqf9y3/5/8pew/l9%20YLlKAP/pk6Xs/tQD6C34eNbr8vIBGXjX44DTa1fPZW8TETGE6T6I0+3Nr18BjL8eYasfffRxZNJK%20JT6f3ciejD3JfvDd76GUXQ6a5kfwxe+/+xnKjCf84OjA3h6lKpzrfQb6Ysj65OyjdHSZfKuomgOZ%20FR8LwPXlCCT3mlSO0ixYXa8pUzNxtKlcpeBMLRqe1ad9797x7EnwQit+k3DU9QWUMqNT5KLZQ8cp%20JYrrE6d1KvG5jGDb3svjon1GGIvJakkFfPK2VjRXNXVp0XQyT2TzxedS0aKirG6Bv36+APUyJkur%20RoRPoSDnwqh8TejXKW87REWMga9J5bgo9X4LyJqHOjEeU0DkAO1HgNXMsjFP2ajyap7I66T65UbR%20hJfT8VoHU0DV3NdUMcBcc0Mz5w4mzqjcMpvjMlJMT7tgbzH4hdseDU90AAtch6DHCe2u7GW/+MUv%20osKTZrQ8shlEZ9GUnQD53C20W7OInGC1Yjlqvw1L09Fkxp/1BDyDzZCzUTazbZ4C+K54SCMANUq4%202WO95Cz6bkzR6e3ubMZz5NCq5EyHCOm6ePXN7CCOboIzHsE5MYEnmwWqV30Up8wwMavG/xrvOqJm%20jIk5oDddT6yBt9ai2JAr46c2knnzJpwwhtt6jSdZ/Gx0AnZxCFGpDRPsmAH7bKAeQq1WSLLYQii+%20BEd2GmCcg/OUY/zoxidRueyMp1aj7T9FeKk5rYSTYz0bhyu+Agd87o1vEu1whbLl9glNmHKjJ3FI%20jljUHM17lk3/iHoPJn0cEBHQa+EcFq0azWkW+jEsm33GY9M0atOI0Ygf4yRaIqZ7EHrLzMIIPWQh%20m6I6hwPWU0JcE1tcuwE/7GYbYlM5V7vbXpu0pghN0mEJ9aOQ0jNvXHmc9M34PHz0AI0Q3tgsLMbD%20MEEjZSaYSxNTfv6LnwFcTzk26QRHzz/Mbty5AWcJuKI97QIUq4BIDzzw0ChhXAhYk4AMDxylhoKJ%20CUsUCzKZwlj5/z9rf/6kV3qmZ2IHyH3fE4l9RwGFpRbWxiKLVWSz2SR7NJJG6pEUkq0ZxYTtv8f+%20xREOhyPssEMOLdZY3WJ3c2k2yWKRVay9CvsOJIAEct9XpK/rfs8HoNitng7bWUwCyOX7zjnv+z7L%20/dzP/eQUcVEaKOcErsxjVhPh0R1KJK6T62Pd7Vw8SMFykd/bNUqb+X6gp/1j1WvAArsUyPotcqRp%20pKBwyesp3zQO9Hd7CZZPF2qFNqXwHDrJpK5eulU9AAvvJZs7de54dZ4s7Dbn7zhYfC/XaCedg1z/%20GgcsbdMo9T/+hz+jZf0TCoX90Ys5sJ8aAIGAkIOGa3ioN+3icnMfPpwC475aPXfquWi3jOJs91Cg%20/S0wzCMM8gAQnhS69YMOQO2Nkf7iiy9rjHgZuOMFFPtO0+13vfrokw/JSKbJxtqqb77ySnWUfXcL%20+MhszLbsVp11YlHNi4l/jbU+rVE9sUsNKEHL3OAO23TiA4+2OS8hvKEtaCMDbMbmrJDJOF1+xan0%20Ptt019HFSlA12M06sIcy8KAFWd+wJ4ohTbz6BJOoL6GB/YazXH8qeqUBbuAaT6yqYIs/Uzsb7qfo%20eZTXesb2Fn3mxjdS9Hv6/VyGTybFy/K7jQKfeUKznFI/rbaeO3eueued71ClHwu9zU6yOaJGU2Cl%20M69z0Bsft4gkjXxUXzNSzVQBDoR0OHvY9W92AIXziQGWirKIgXXSrpMUfL9bszdpOhhNgTDaqVyQ%20lC2nnO7YYVuzv4dOrER6jJqtzp2k7KeoHFMqQxbx80Q3UnRKXzmpsrxkiikyNWRc6Gl3w5oQUzRy%20f0gauSYLQcERmASPJe5jdI/uPlQNYEQ7eG/qUwyLNOpAtwEa2W4MWqf6wpgiZTsdwdNZy/vZ/55u%20B0c9gVfGwijQILdYVoME99xbWRW7uqSZOQVkp8UOnFeTEAAHi5QBahqQg4UKqF1uDLHoFUj+s0Sg%203Rjq3RjMntXR6hbwwDwZhYMxjxAB7bOBA+lDW1+bofwcPXq6Os7stFGeQzP3VYE/YtWgFtHCLT5F%20YXEbo6dKw1wEe7giHQeOUw/vLLpBGAhdztkDH18ArzfTMBK+T3SiZGULsIpRUxdqehpihcP9aOM+%20hlYHUvAVg5UzmuYDO6ekDPEcMu5KLA6MfKtdGlHCl3RZWSS0C1TDozHzoxSEtwNZKQ353LETEVKa%204yDdYtLGtTs3wrrQUW3hHDJ81XZvFfD4vAdDweKWqba82TfffD2O/a9+9svqrxh5795IgZZ9ZFCw%20PYthwdgbd7TTZWgRWZEhO+AOUIg+xLRlGSpjFJAmwdvtLD2GnOgKhtRO1mnWvo3nvoP90ipcgbG/%20RX3ivZ+/Wx14+XREndrITKYxpu+hfrYTw9xFy/p+imhtGKTvfuutTP9Q5P4etLp7aITIHDKr6+nZ%20RGFunOLdXfjuBxmouru6QyF7njrFnr2jUOxggeCgzCIWafG2OO0cwxMUmzUGQj3Ct1IZx8jkDlGI%20PHH0RKEb8hri5RfPX+d8r1bf/e7JFOiFHxfYQ6vsk1aGyBqIHEAn4wYDUUOnIwjJeLCcgxoCiBGu%20DU8Jm7P2jfZgqW6NZg3P2loiUucmOlSCE15rRWhOhaQWVfEjQw9NTpEjsx/OSJl8QwNZ4FzMmpQ5%20vT3vualhNZCtOb+Rtayvq+69rg1tA28uBrMBbzwBMxI51xFEcN7y+g2D2rCLX6HPNaCI+i7zs7b/%2054LKb+R68nUhGt7AQ6MIuQb1rbfeql5//fUUAuQUu/mlfEVwxVE0PBDHd8/OMuFXfKcZKGDnWsaB%20H6HiaTHkGqRriykaKkP+Dh6qiyfmKY1O7u466ZTFhRkiXKlOtkR6szaOiAH3sLhSd6TetXAI5BNO%208ZoKiFss1Bsq+mzxZw8V7SEM7HXgDL3nBJ1SktvPnqP44CRii5Qc/lWxXEB/72MWwy51bB8NDcd7%20R6vnGBuzh6KRxTmoAZEjlJIUuh7vR0IZTHJz26kHRruk5BimJtJ8mwuMdptJgfV09uMrqJPOOtsp%20Y3xMhUiVjCBxThsYryUAMjVBNhTRx+PvxKi5WFKi1mgw2aS4uU5UtNAGD5uIahqHKAVQLuQjDO6c%20RtJGCVLCEeQYB+nmsur8GDijhzSyCVwaq1lVHGamZdKMgIAO73OfjX332mXel8Ic1wIBCyNERkB0%20vYPnt6xYixGdYvZs7pV11PaQIrW9fRX9hWU+W8BRpTn1hWsNRh1vLxcTuhHv6yFLa3m9YYWbjCYy%20TaX4pTjKJhxozpDSmuoN8DUx5R0YwDUmYcv5Fo9uqIoZnKh94Cy6PiElIkp5yIpKNWEwH55H2vIO%20Bc/Fa9XQ7vnqKAWpQwcYU3/3EQZrvjp1dLD64x/8IQM+v1ndJOPwPSNClG6vMpA2cxCjbeLXYQjg%20MNT4dQakWsjuC+fpWfg2nbcT1c7Tjz/+BCbNCrKZTN0GUtgmENmB8JV7p9tWeLDVVdZzD05iXnUy%201t7nN0OEfRvO966DissPBBIQxjkM/a2LzKsX9osaJ+eRbJXBdAxhocsUdqWOKi3gvjJo6mX/eB/3%20cTy2958+czJt1eNom0gD9OvXCaLyPHmO8udXYHk8huNo0808c/iWccxzMKZuXIfqmpZ8itTg0hb3%20juEoHiD+swVD5Us6P/dKK+MseI41nOLzsjPEbC0iGowYnxRr6GUWFoUQREYdJWotUIVRtIbTuEY4%20Tx1q99MOnq9ZrXov20TBTTq4YK7Fiil6FJsEDc7mDCeI68SE04yaLbiXDjwV3MrMPT+KqH0RsK9b%20O3I9MZBesZBD9rAxUWmtb7TZh+LJ6zTGRz2LCz8JwPlL4/UaqirljUtDdYmI/ZkaCuHfzZmiwMOw%206CXcYHeb/eZ6SX/B73tA5Poeh1KlcZ6nXdOFjzqYzASiCj222K2wggU2FbEE632QflhE0zDKnPAO%20Fe1Rk+EiVKMFjIOKW9Jw7Gw6Sk+7I3x6oP0oXOPr+6deXBzPttB9eGVx7ohjK4nJPVjFdgSN9yGp%203qh8enU6zqSLIlc3uOHRw+CvbKw1C5B44LMj+6rDHTAn2JiDXKPGZKtVfYEysNCUeYoNqNbzOoZ4%20gyq9nVspDZhGUdRy0rQHuC3tmgV72ga62JTVYY7A4qUybP8vuJ4R/7aeGyjoMdDGAtzWeSZC7FgA%20e6Ugl9EvvPlOjHUXUXLfvl0YTgqUFFqmPvusWiV6kWbWStq6G9jk6KlT1QjqXDvBTVsg58NTrDhN%201QYRzmM4sdtE/zIx5BSPQ+ma5DDcp1jm6zSLAVKQaiP6ydBNoIc51uMxhr7TazZr4x42oRq5eTSE%20zfzcUP9IdAQySBVnWQjzZnJldFUE4qP/WqJhz0AyQyOj2hj7POSS+/Mb6Gnr5JoJFaRx7SSadhN7%20KLWIzriTgWEROILkypzixGyftxtsz9BeYB+mdJAldCoExCG6co0CLT9z+Mh+MNaDwGKPGOr5Iupn%20p2PM/m//1/97deGiwvKbgd5cFwMSIx7/Ez4RbXI/Sw+0+0zDtE5RbF2xJseOYWQ1io6VusI8vLMH%20j1b7uqHKeZDtFsOgK4ijkNbuHgqgI92RmP0M2ELqn1rJkdrieh8+oFMUw7jJNSv0b1uw0pOf0pQi%20rW+G2YNLzXRsclbk0KvIJt3z/IUvw2YpjSyMGiOrUM3P5hwDjx6i7jmi148+/ASc/S5FOKJwjKbX%20dZd/p3WaZ2rgI8ddOKYTNk4vcE8MPgNujzPIwHW8xCioz6FBagAvo49hl1oHdRRthcV6YYIWnLgd%20fbl/bU3NC/ZcKPJkYKKjtlNV4wtSmD9tPZdWoexU1P1W+GTfKOpkEc842jqJTn1DbZkMOy4qke41%20oY1MSHeIgWePKMhoORg1r+37yuhoRKIR1Ffgvz6zGm5f0/2ZAQn+og6E55ECuYFEAipV4eyoLTog%20Ll4d6JYYuI52/WIjE6jDj9jCBGV8M5axERnzV3ow9OxURcFjXWR5u0IIGmPxYg2buOw+WA5+X2Or%200fXnHWFjQcnK8GWwIy+sMRrFTe1MOrFLDbo3LXQgwVzy/BB/d+NIwPdGysgjCn1Evxpbz7IfFhcs%20HuoQFBSSP6jmg5tkAAcivOFGKGpyPsid1VG0jU1TrADb5RUB6nhFok0ik/5e1M56xzDCTLmgMCZF%20p9MMgUhxgQ0po8SF11PbwmuLbgB+DsoWhstyr97bCNf2KTfBTsRj1pvgbFoMwiEYlao9ELDfjRBv%20z7PnrGekC1uuHWUzYQDVxzZYINkUO4i2MqzUNlZbyR2gqhEX897NjDhgjHWir0Wq5quEHZLgbchZ%20tVHGsTAc2nVS2Nm/ereaI1Jr0uCqI6zYEZ+rNjjSbWb0vQ2do0lNEHZsDwZWofKb11lHvtai2A0H%203VRQZoKjo7LPeK5OBVF5SyMY/VmxcVcxhfISXQS/r2GJaFrXm/bJ5F9/LDCc0Qt/JzLHZbFWRCQ6%208JpnbhyhVsSWI7ZgIiigb6OQh9Bir1mdzJlh3qOXPaWORK/wAtDVXgzlYq2XsgtI49CBc9WLTH3+%20HIf247/4SfXZp59H6tT3ysQYIzucgAdZY59hunSNJg1WUIr31wgroLVAJPyQOootxrtoNpENMg33%20WGiue7Qfg2AxyWitHEOZGIcxkFtjfdm3PWCzyyvUSjBku9BSbu6AiYITeUjxSSlXKXzXMdgXvrwE%202+E+9+iQzp1kn2DJDgMAy3+Bad9TKrt9WbrajKjNKlUYlMnjTDuboaYoeNkhK4QYwyQUxP2skOG4%20fg2tB+9r9TEMD87iYIbWklVQ3/EGfvWrXxMkHY4jaQWXXgPaXCLrssW+V7wfq2NgtkxApQC8hsyh%20BEI/cTaGmGzjosamky+Mmq1E0EUPp5tApEWxrlDfinCJWHTRs45wSYyde8jMJWeDf2/hFGXpSNSw%20+UqZgWRg9bYsBg8Ftjqa1Yhq4BtogRF3gmIDAfek2a2Rq8VFvpCOYveC6vR2DCqAZlOJFL7amvpW%20Ebaqs8FkfhrcaGM0jHaxaf5O9Fdqw5w/NfAphvFAFR+x4ULerhcgZmeDh8WMEyeO5t9CF3oIDbFf%2011NYVNGLiGu5EfsksHNANK5S2yy86VEzCdnuIjbwEhvkHnCG77Nhys+fFmU0xmJpRkoW2hpRuV7c%20CEwjnKiXiNyU2ajUzTXKYei2uMFrzcmyYLGMOvxUm0Ha3SbY8iOM1P2pa9XrHbuqczR89MPIaSES%20bCIlfgxuWdIGLkfRew69XrzDB65XZAMaEQp5uCh+ZnaXhBrnaCXi13ixEZ24gSHgIdRcHRfRJ16W%20LB8W80hhvXfKX/GW23J6ojrmrq0bOQJ2KVcHJo74UBfUIp3SwUzmuF3dgbHy85/+VTWL+M/+wdFq%20E1xy7cYdoIn7VTMHGnMeOccWrr+FglAnRu8+B6aJA9+BoVlhx+6C5TAGd/MxafgcB7fXSdREgw2u%20pc5BDSTXu5kDY7E1I6hMHW38ScpdNl5aSd1o3Kq4ZF06zy17W250n0Cmf+fbJeWM1KERkp86Qzdx%20SRTLc0u+aydU+ZoFsERBypPyRlMwFIaAEvZA2fsdWib3byLruJduTNZf5yGm6Hspgm8jhwVlDe8O%20CprxJXWKWu7Zg1GUBr0mPzT8amx3sbby2GwuklfdCTNoL7zx1195NWvYbkLAvlrlOtvJfGSLyJqR%20cdKBMd65pwQhFjftjltdgy6G9vEIzRytBDW3YGes6nxYH6U51RDv5vrXoSkKDTlQ9CUmR48S3c7A%20j5cjr/NYRLTJkud+IMCXXngpmejnn31Sfcyn57jBKLDNWscgfq7kZmQmFbLiGe/ZtadknsBch2FU%20fOc7301B8JOPP6o++fAjgps71WGyVifPmEn38uynKPzK8Z2nSUmtiUiYcn8a9FYnmfMAU8gzYJH/%207onha57npl6M7zJ1nkfr2Z8W/6VlKrpVxkCVfoFiVJ3HWQxkGsIMu3h/98hOegCEEWSXuOXiXGRM%20JDQtrBjrHcX2lQXNTD0+I5vpjpLSCyxo01RUG3ECapxrVA3mZJ3p8PwQVhVGitRAehrKHjEAsWu3%20zPUse8qAxCnb+Vq9xxp0tkaE/sQY+0Ya4DJYs7yI0a8GVYOoEbUjTehCDFlecBEqURRHrImGCIdg%20KsiSDrYypsRpD6ZIZQrIYgpnHjIfpJKXqxhKH2gr0ZeCQF6QC+F1NCJd30dDbGFQT5fCA9eoUI4e%20eXGR6JKFU5W/C4aD0YCTQbxnxxQ5ey66CHx0GMUSNc1+gfgRmrwjQ4erbuUL0ksAAP/0SURBVHIg%20ucJmR6ZWrUAjFlHoKkGZioKE1kMDCUVqB8WzHfbaazQwYsEeXAU1FGNE+dnNhL3l71n0GvDPz3pK%20/dQj16vnH4J5YstuulRr3Xh8g7T8sRKANU6r1oLNL+chuK9z8AYpnMmNnSaN/Ywiz01S2SPAOr10%202e3CIewlWm7jeYpBy9pYsTVU7jEOZA1D0cHsw5ZlONvAHWdOn6q6iSQnJpBWNGoTj7fQxu+Zvss1%20V8jczZiBsBEtrofCmg2J+QkdeHvaYivNbs4YY1+n7Cu7ACOL6MHkmZSUlf1QV52NoghDjHXqiEKj%20TtZDZF5UyGTn+EKNw+0TpqVX7QOhIf4+gnaC4lF3J2kGuElbMLDCnj0UbLlfMWr1JIx09qNnIrd2%20Y2MuaxAhHxbAxo7sF56B1+bhUhvZvTQ3Q8GX4qC3b5qeZACnISthlT1ug0QPh3bxM1TXqDs0s6wt%20Og/viZQZEkmexUNqJz5cIbsbQBv3oB8eAOs/RhQ6RmBxF6W/+5w1C69LMDrWVwpLyAabK/B/pQiu%20U8T94rNP07RilmPhrYeWcplKTgTJEE7u12tTDtc128LTKXyktvVVHJbP1rNvm7aPVfzZbWpzjg7Y%20gmxRjTsS/FztYqe/6zgdsnqO5iMbjiYJChYonA5COZR6Go2IbGOdp+a3LtOZLSWCxUDx99ZtjKhO%20mddyRJfBoHowEd3i+uWbZxYlayN7QqZNnHc2VsGcM4HZgCCdHGWggbRYWTfJb7kx6X4axBhuoUXW%20owz/1UjXzljsOWPAymsL02T8GfCoOilBLHQACdhLABJcu5jdfLgXjOStZSWKN6K3k1UD/+wPag4S%20rT+hY5fIWNaEBs/UJzABuJhG1a8LVYjd2s+vMdao+nDsgpuj6OCb+DtlBJMpg3ZFD8RDUrSHyrPp%20rLCHBY8uoi3Fa0zfpb15AEyZxFNLJF0cgkbY6NsmE//uQ1eqMhOEudYsGm20HqqjpE2+/5dfnK+u%2005dvxCp7QqD+2o2rGXW+wWKMEDEcptA3wsYeJrJuZ8F7MFxCBhqRFiKJZhpTIApruT2NuY/iGk2x%20Gp6NP0sGVVIv01zv2Q2iEfYp56Cy9EIsGcWEMfFeuY5tusf82Z1gsNtweFcwFhbSYnw1atmwtJMD%2036gha4FiiYhVofJZinZXcZDz0K6cdu14mm1TPTbfGkW3TU5/H8I2IwoJuWGIvlfJk1dIX9ccrwWM%20oUNpVvwcG7S+NIvj7WFu2aFMmTDrW/PZcoAzQscORw5lN5CLraHxE+4w9732WAPMfUrjctNlCkvW%20L3hFDEUcvMbXx2i6Z+TPF+ogI/h6g5qZFFY80aq8v5fouDzSdTrRoqKFJTcDsoX6Mc/TWkIHjlMx%20GUfC69EU7enqJLPiEE0+gPM8c5N9AgznVHKKjVI5e3p8bttkZMA3G3QJZhSW9yQk4xis3jB7ZHE4%20BUWMswOHpBMROnMfj4DRH8VQOZLs099dp3i0UZ3l3zYa0aAo0h796ZatFtgV6CpgsDZbUDmD72yA%200cpQhFkaQFZWEfuhhnIc8SEf72Vae200mqLb7fGacyXJ3lgf4UIN5XXYQtsUrDLggShtF6yQN94g%20C4D2+AY8YfW2zXZ3AWU0NVGkwxANjkLXpBO0URvyjVLnwYD2p87TkfPqOTQjvQdN8Ed/9mdEx+9E%20PtRmj3k7Z9UaIeNSlvYwBVTpqs0womQu2dSxbBeenY+6RrIGm6hcxxgyl9QpzTz3FN3ILCJtyh6e%20BJq8cvUWVFdqAbCbLByXAhvBmXUHheXr1D6ZTMMA8mfJbOo95pF1f5pw82X3WRLNgnIIX+fn62A7%20Z9+/W1/vpJ5jvcJsQFmIHqimczibB9D5bA8XwvD1LIB6P9YxnjAjEmDwGlA9y7BjDXJpIFHeILMi%2086Yew/oGNNb1/o4x9gZNYxqGV+xVw2kbsL9569adiLa0wJ9UO8D2aI21KYVToY1KPBhlxLyiKPaE%20q59aKpVG1XKYo8DPBfq7Dm3UECvY3kw3lPPvwjzwwGLUNbo6ASN0tV2NyI2oOynATeIkMo2Ew7OL%20zWAziSmfPGNnno3Qymn0NsoGkUamt7s9ebO6QVTdi6c/BgVpr5E2m2IHHF47uDw4jnjJighgyuJn%20mkV5UjYmmNKUjrtwIYM3GdGyyTjwj4lQNziwO2kM0CuuwBgph5gDSJPLquLq/G4T32vV82qYeWbb%20RLrL4ITbHBKJ9HToJv2Oo9LiFbpKtcH9rPK+MkXaMMRNFLJAMClQyPaARoZz6SNV6+UwdfG5RebB%201Ls8/zVQlhU71MSt3HRGukT+TXehtF0FZ2UdO9hAZjOzpLz3YWtMUDfQcepIg6HWNJ7wI3MgjEaK%20LzLNU5dC9bBMfokxLpBFsDnpfUb9/G4GyLIRxYWNuG3kyL4U3nDxLZaI2VkI5drTvuphE8ZgvXXW%20mRICU2VFGIrntrMJGU7btVdompG6pna20ot4ll6Gi5rK3geHneBALQFVeT+7afMdJYI+jLN3jqIK%20he4fA4PgxVyz8wnNBiwCr6iVUAceOiA1IRwMcBKt35dfeIFCKGO9iGKHMZZDThzZ5LBusEd9PybN%20rIHDrtOQAuiVBiMdqE0yputvvP5q9c1vUgfAUXYDV0ihGyPy3Y+BVXLWZzYNC+YhjR9beKVpRJ8W%2055EGgOZmu76GSgEsZV8PwEM/fux4pnt7Hp9nIsg3vzFZ/Zwuug7O4/Gj+8CBT0Q4K80VPNcVAoIe%20eO39/TT7cL8RqmJfPYAmaHfhAZgoivXIG5exooGSzSBE9mPO4QhBzEEK6TJvHkOXvAIE9JAhrQOD%20PdXLZ09XvUNkWS5t9o1nqUTMRrISPAMSYOGcKu4znVejOTUW1iEIHRmGanzwxN3rgQU09cGP+Zmy%20G2P8vadIgYo/41zCU05Xqt2TQB84UrtFjbILLFYGFPvbQl5dPPvSkFY+tVGraDQfOshpMyQ2AJF+%20VxfyMj2+DnkTOZvt1MNMGwwL970ZUCZM1w4k/S/BQwsHumZ1FjZFJhSTsi7S/LCHQYh2QzVBVxO0%20Nkz3RBxFiMThpJ+RGhX+JzeMV5UVoXbrNQo/tyk0QAlOEcsWXVNXf9ZqtJHHOsYk8/USRetZvINC%20jneB1nda1HKUd3+8vtG5HzYdqLfsbDuj7PBXnRJCxHCFwmEH12WVXf6hKZvG2c2xmw2tt1Z8fQqY%20xAaXLbyevN/H0HM2aav14/Fj0lwizm0UtB9fB09j4zpkqqShjFYnQl2Br2m0v+XB1PvLdbSWh3Hd%20wBivKjcqlU+MyCGppj1sJFtdV4kE9KAdfF8JTY35FsWTZjc+/7VT/GsngsAvJYUroCUYtQZLcX2u%20cRljLGvBYuIi0YlRnfXl0r9UGjIWee9JrnHegogBLFHxKhdpA4+OZo37aMIJDHB/10xfub9+MFUN%206hzPUj2CCaebcK2KLtl9aXdaPmq8y0jYDRyWBL+vlOqSE57rtbaV3k+NdX6nNuA602UiWeUN7a9Q%2039puTSMrD6EdcB7NZkJuo043b0lMMMS8hiy9sFSIplZ2lBFgGn9xPjOLVgxX/y6e54BcYRppWP9e%20aIzDpOQLpPBTU1D2WP+OTvQ2oHPN4DDNvA4xdcM6hI1BanOoD+yN+dpbZFHegqn6ChPN439ZU0cj%207Ydr7IDTTfbCOtoRK4sccrITRdVXLGSBB7eTBg/S9emjyM3wPemdWyfXM7JpJfoviCrR9v4lmi5O%20oLHN3Bl0iwRASoQa5R+BA9zaBhuJLOsm2d5f/fQnNGZchx/MBHUczucUIvdwDt947Y2k/e/S/q7e%20xB9859vVv/qX/xQ1vgPVX/74J8lu+/rHg1UbKNhy7VxI94UG2OhY3r7qgDKV5PXrAD1Pjh4TBjTe%20l3NsZHuRLsgFIKExAoCmAbnBcnW3mSM4hegRkTnPfvfASAKpTEvOzip7PMaqAVlxzQNRJDxeHedM%20yB0O3urfWfMBnlUXtSjL3jqLekNGVN59aDHOP9c5UzmH/OceMMAKE0JygOL3rmlUgDC+1nw0xrU1%20tChs0BB9C75vo9o8EJXQ2QD3oQ1LVJuidF35Sar4NEwvDsIvPRO6+28PSsMU10bYYCNnI/8Vg5yx%20S3I5u7qKuLevcxBd3DsIZ7ugjnVxIKjdOf7GEmnE5EMiZVMxzIRQhUpSXuD9+87PczIrHXtwGp3T%205UI42FQMzvTVC3Nz+5C78XZ79jFfTzlOWQ8YaaMqDfgkzQxOI5BT+fIZChK8hmNprJbrAG7RgGJE%2078NxEq7RjNVUPfA4RYVVDL8czlEWcoT0rYsIcJCD3ruD6JVDYhV3gw1p++7qMtjg3CSdblerRTQ5%20lonYGNcYuk2yDQn8tBq3YwjbnEzANVLvM62IUW7G8nT6dxmlZgP83iywwCaG35bZxxhhC156ck1n%20+LSbRtEadOCBbYWzpdVI4ZG2w4EmAl6CF72sQecQivku8R4LRMXLNmIYObDRptg0j4hYpoAqZhT5%2012C5iLJD2OwbUD3a5S/rVEi5WonIPGD3JpfAAkehLO6OM76D7KTdTTZsDKPVsZ+IqAe9inCFIw7E%20dXOfa0Ivfoq1RT6VtFKDJAaHEV4lddOZW+CVx5oUzYhWnQF+x0GoWCW63marBximjnmaS1gn1dNM%207zX2RtcePCM3t6vRbQei9W5gIz7HUKnxsAkuu8hzUuNDHWk3tGwdeabqNhjFhiNMur615WAB3p+v%20NTHbUZ7r5YsXoarNo9t7pPr2O+9kv/6G6SaPaGpxgogt+k7RHkbqU8dhG7PRzOjQSHWILNFC133o%20hvJylzHA77/3PkXTJXjG3D/PrI+MY81MSr0Gor9ZRlOpm23KrdB6M51iGhKx2NsOQWXNbty+Dtun%20r9pPMVLGwC9+8Qt+rqN6/evfIDMFZoPq6Fk0eLp75341ybOYnFzD6SCoRDZ5E7z5s48+JrW+h6Hu%20qt759tvVN978eqK6/8e//bcwHq8ASzGlYxGtj0+Y82gwMaCK3LXCAeY9m8lkB9BzXgbGsvPWDstE%20lTwPxbWGqBudQj704tIXmZc4CV1yP+8tM+TEOaA+1sagaQf7dI2sLPU07j9JkBF5bav8M+bLQjBB%20nzDGKNBPP07USoN7TIlTew/6cA6rDkTm/UrwpmHl9xIYKKfK2uLle+ik9T0axi/GTsyZvSm8lIJg%20oJGagqlT174b8dYZWuh2ambYrl9fsxG3Zyidd5zVkmcWY9wwvWESxaYXh9HgGdfe4+nXdBIESaGA%20Nn5fY3z0yIlw+NxY6kxsSIPK4D9wWjy9RQQ5f3ep1ltAWyQKWSMdMfozlX3EBruLh7Q6qd6v12MW%20r5iLh6fFwgXGz5H27aRBpl6DI2jwHmBzk949h/yhIj4TeGt5q0Ye62BcTkTwKS3xM6Zzj4AgpCId%20hid85vTzqdw6Usk3FIzX/thRJQ9WsRAN7W1aQddGaVkFQ+5kA/fCvuhYYVNw/WtEJa2C+hg3YYSF%201R3VPOHkHIHgPIbO0Y7x4haaLFZh7KSwgXpTpEG1igepRGba57M4LIIGkM9ZsNoFImkQiGqTaGPT%2052L5xSid52RBKPfpeCegmm0q6t6rExeMptd5gEbCy9yXhQ7FedbFKnntDoyWGq7yJTWGGuOZwD40%20glDQlGwjVub1ODAjhHXGvcfw2xwVU4h4ExS5QwyNVHZSAX+r4EIpDoA03XVQrMUNM40UiVJEwXHV%20BlcjnMIKxmrB6bk4UMfJj/GsdwEB2O4unuv6uDdXaWE1ajAV7CMdt5I97VQY026e1RpRmFGiRs+o%20eAfUsFaes9GNEhP+boNWl6kg7A+1A/otLLJHxzCOXAB4Y4mOzMQWVpkq0zMNFIMObxfYKwbMQtSJ%20o3SdsY/G60h4nLqCkZPF6RfpQr1wga4yZwiy7/btPVadPH2SNVuG+/tBpiQ7dbsX7Pkx92vhaoiU%20fAH+8DwOXWbBweOIzPejs0zQ0cHBX1gi0noE3XBputp9eA+ymQPJkuTD+jo2rgjtHaC4drLnueq9%20d9+rPmTqiMpodynuAehHze/TTz4uBSj2wnNHdwXfdyZfN/d2EsbT1StXqw8/+iyR9RXmGH5JsVdG%20h7CUus+D1BJs2lAu851vfbP6j/+vH/EzVzmwKuHNlxScfXpH9hPP1YLpl198ln4Cp1qv0tq+j7rL%201772cjWDvejgmV38/As4zPK6sRkskgMGXmo/l3OrtneKuSnkybgRc7UZQ/y0MGIavFyx5R0Ga2qf%20Z5yStBocBdSUGbMJjKE8bzHcRoSrMXZDF5cd/KNEpk8i7xJd65T9mUbDkRRBG/sTsSeyLr9n7cqi%20XLBmHKh8az+ETPzctuaiAW3gZxrSOmDzXMXdJNotH41W7HSR+gZlF5c/bEbxd2r4wr8jQ0DL8DZW%20A9GSVYDzCXrwV0m7jFBbwYkdnX0P2UYjW0nhAv5GFQ8xnrbCDkOnukpEaQefEIT4iJ7F3zVKtPfd%20qQCJohpDThVHQavVqcfr4LbteLNdtBzbJq3QjZShXaTIPgAjkwW0JuRaXvzyRoZvHkPLeC9polBI%20BEd44LbpiuuI4Z44cjydRxfUrqVV1ZB5EPilg/71Hu6zi4IKAAyLz4Kw4M1oFrTywFSKSrXf/3xg%20LqQTJ3hSa3zNSJh5ohG26cTadTuZWnWoYKREnlDV5jD01ziUn4Gx3cLYz8uC4HcX+b7tnibjQbhi%20xMtGedqf/rS6qjFtfOpn0yrKtQ0QCfXaClpvggWjZTe4n/y3qQMUYwW7Oo7BceNcouCzA8jCSSuO%20dto92FV96+tnwU2RJ83gWCaq1ANIB4xoHaLJQVFkyT+tEEvzMXVzkrI2ttB4VoE3FmDEoB5HFD1A%20BuU0b535JTiy0zhvYa4Mm+XAenIsGu1FHfAwbIYRDOgxGhcWMWhXmF7xwNQeyMIsRkfeyd/t6vI5%20pRGGezaTk6pm9tTRjS50tGsd276jmlH8xwq5lCSMw7oQhpMflAQlHfdwaYwf0a7fn4kkcuh709hz%20mWYGKZqj1CFeZNCqRssaxZnnT2XggCvjhJZf/PVfVQ+gSH7R+inMBWshcp7VHAEGohBnNDfL/u3r%20xKEg8mSxxmkjyl8u0AX5/CsvVoMISbXbWg2LwflyFgY//OjDtJy/+tortLAPVn/9s19koIA1mVZ+%20Th0M4QRF7q3nDENzVNjeZ+QUHjOJn6Dot8g9n6Hz9MsvLoV7a8R9j/s9SjQ8SgayzXkaA2N+C2M8%20TFD00e8+AuZwWgmUUzWwWa9lnPf6OtkX634f7FixKDOKZc7qO0Af7o/LUAOfB7p8hNZHNqPGimsw%20KhWCUlnNurdYu5iVe9d9nH2aDPYJdSj7tg0qaA9jcTIjTxiUKMfzpiGfpcX/IbbCPddoKCoZW8GN%20G/Ww2LkYvcK6ePLhWZN/rHMHJtRmZHBtDb191XgqeiAUUfTLG7TLQmUtQmTWQXbiXHJudQANoYn6%20DX39r3zUr+Ml+b04j0R6dWZQm+/mcQyt6YeR8ECfotVI+c3h9Wog20Gfd+9QGAND9AbWSRMtpXch%20NON8tzZ+7tDBY0TNC6XizAaRkWFbqS2S4pxSZwouzSJjkO/evpfo2Q8hCg/YBobtITQtF8GuJInj%20YsG3bl+LFu0qRm73GAUlNu48xlmowukE4aMKC1B8ckP1EUE4/21pAeU1iy+OasLAtxIdTdBrf6CF%20ETQc3ghfexEYqWbTSNMVI0Fea42vi0r64LXEwV8tLvEAZTW4qXbiXXdYgTdHdrSMBpAi2ioG/i5F%20xStgfjd5eRLbRKg9OJpd6HKo33sbSlXYBbWvTCqULVQ+4j/NeCwY8BnShu8Jva4N6MNnpKaEL7KO%20gVnTm9f8yS31PPh7plcwjdhNcxH5RAtfrWyK3p6W6o1XT1eHjh7kgKMPTVS8DswhrKRIuHPQ7G5a%20IpIVLtGwCfmssEdWMHRGxkYSwhFGxwNDu6rdNATtEFtkr3zw4WdEczQpoPBnalg2bIkG3LhmBOdR%20BrSpwMLTGVp2Xzz7fPXKm98g6hxH6OgyusOLKWRlcKjPQiiI19dZ+mAsrpQXLGpvkr7mjc6Ef7h2%20j32CF9bYvdCF4RW6Mt1uMXXGMCtA38xe9Vm7zjYbLVIIvEOav2/vQYIJmjHAZIdgp0ygmWuZ4wS0%20scVHp6ufoWVx6QsE4OFrd1Ac8kxMwoowUJgnerxA0Xno5GncvYwNnBHnolnuOddz6QuGNuAoX6Ed%20ewQj73RwmQgD7PnffPxB9Lu//e0/yL778P2PkpEugONOwrE/xmDSLkZkfUozzwqG00zJ+sqBvQdg%20X1xFvvMRkMoYAVAfHaojvPtGHI4sjlY6PQ8f3o2jk2rmNJkm5DJPx5jr7D7juT2q0JamKcosS6aS%200FM73Po+KHPj44/4GueSdfnFX7+HLswtovHj1SznV11rG4+aWY9MYybD8l59nexpov7CXqyLWNbK%20s4JGycUot5r+bMPIwHFqmA2emxXU4hXWpECYoaZjs0Srvq6QSvQifIW0V2t0S2T8NGr2hwtAaGRs%20t6z7JsfFI+TX7BPgl4vKI5CbEbkMIWEbg4EwfuoAzZ8vxDHfNOtUdFXKVdV3XL5fO4R820g4Dqn0%20MjQ+dDB5Kf3ZnZt3UvmX42vRRgB/iYLHKt1qbnRfrzAfbI8mhadYlWGTRsp8TVFyQ235yOr0mtJc%20Bc+1WmpDyDJRh/qqpsHiU/IOrbxfuHglqawTnhU4kSrjzY2iguXrTyLP2bZi99dj1LjuhFoyqBYC%20fOIkJXYpQfXyYfbTArxBIWFqopfoYxYu7hfBuBQDMkISK8pYGebQLdLgsQMNCjEgo+400SXFKQ2K%202yyUHUB236WBQW+vR7PYpifGs7oGbjaHhj61oPweCyeuO8PnFD9DKYioFWijv7N6+wffqb7+zW9V%20f/ZfflRd//MfJ/Nwgxp1pyBQr2fwfTakvG0xdL2xFiOTCHB8WxjZdZkpLh4Ob4tnr0KVL+ZzCeZq%20NEaR7yYSlxayinI3GD3trUf376n2E9E5KkfVtcdiYUA1+5h2YbFIWpQslA1SVJ/BilAJB2yJdQwt%20yCiP57i+9jhCMweIvu9i6K7SEDSFI7+HUI73priOmzipmgWxPE8cJ19b4vUWCAJu3nlQfUqH2UdI%20tH7zzVerl4EIdsF0+Jz0+iGqcLavNoj2O8Wt8/w9rPJTpUGW8GINGM2fFQZzFWUqt9sthfH1nvYR%20hS+Cf2YMEr+jjoNBgdmAUqVCLEnQU+RZp1nifCA4+ceOqOqXPwvd0TFR22fOEqXdQwj+cvXlpWmy%20Q+UzVZsjUsfIanilIi7zOvMYaeSDc92q+XUA1Y0TiGyzJi+8/Eo1wDM3YJiYnQxLSElZz9Gf/af/%20XM0xB1D5VQX3FwkmtrZmq5cQfvrOt95GvKoXeOCzzPtzJt0u1Adn0ZXY2pQBwZgtDKoa3QrpHz9+%20PB1zd8dvUqBlgMADpnhznvciKGQB8w500Fso3dmc0ssgU3W0FbXv64Uiymvo1POUOYcvvXgs5+aT%20T3hvcGxlNE+fO1UNY6CtLW1Y8DOAwfC4Pjsc/ZE1L4XwTfao0EzslJtJeCBrWpq3VCl079u5695+%20jGKX+0Ztl86KDL7E1jFqARY8l+XVYhBrTk75YqLm2uppSOsDZtDp9xNoGXnbuei/DTysP1kUNvr1%20hwIJFZ12m452RpRIvFejUSJjz0ppUMqXcl0NFLkhdB9cu46i871no/b6Gn0+zeK1AbXZjIbfHlIj%20WiNc9Qh8OBaXNG4abPvxHYqo91lZIe3l79J/pGM5c0pPEi4m6b1C4RkkioEPzYmb0uOq+RrMnE8j%20rVkOsaB8hw0gLgxfHydN3LFjHRYHhmO5A7K+kz7sgpoOrujhWyLSdl7ZGAUaxdunpbdRFb8/vpqB%20o3aeDQClrIA/mj71MEZneZ5rQfXK0eRyfZVHlDsZ48gzthqdaM6HbGXVNdGDJmVyjUuErCiJgH8j%20RXKNl8TeHRXkFGx+BuXGatlIm9X+nPTy4V/9vPocR6WuhFhteFwaFOGK2mMKL2hs2nj+0UmoP0wN%20W0ibLZsK+UihSQuv3GwfWO25o8eLM+sEb9SQu6nGgHTabXkmb+yjw3EKR7emNjXX1sbPDDLhZYxx%20QDbvrEs9ZGWMiANPWDyU95zpxcIc/n0LBbDnEfQ+GnnGX7//IW257COejRM+LJ4lCjY64vWkLWrw%20nlSh654YndHc4jq/T8uvo3NIff/o+39YvYJQ1W/e/VXGH7W1UBBkT1jUszgr00LfksnadaMJ4Vj4%20tqaVZk7tRFmdRHQqxQ3Aox4gsjt3+nT1u48+AvJycGwrUS1qeFIypRnyevJZ3QBlmKlrshP9iisR%20Uv+H/+CHRJGnIqQ0HFnWWaJNsp9bE6HP7d6DljKSlRMPGHTQtVSdPcZgWOhiLcAp22Lu7L0WHKkG%20axLsWdnOaYrRAzg+eebvIY+pCtvbf/TdcIN/9B9+Vt2+PsXeZ5gB99LjxGYgr3sEJRtnz1UvPH+2%20WuY+FOjpBArRcL3ytVdTPP/tB5/BMLrGGjG6jNsoDV076aK7SJDE2cY39/RdA5Y5HwPz63ffrT74%204FMgDwSZ2AtdTh+n8cQATWxajF+oYj9O/I03XmG9L/M6E9BVZV01Qct7s5onap/FsWEYmHMpBcwo%20lL2ggdQIm/jzXm5THVOCGwMIbUudthc6ZAl6VqhLNUT+bVYRaouWxTORpu6zqABaxCvRZf4/Z9T1%20rBk59fkRpzaQ0qD6A2a62iSDunT2uV+l2xlVBz/A6OLQt3F4GxrTVPmK87CGVad62d95+xzjgk0X%20B+E9Fm/h2c7ej9EPRvPkXNe+pDT17KEtWEOoUVWRS7lK0yYXQjlKcadpDHRXxyDSg0erG2CWD0jx%20pIzY0CBdzAjIzewkDvmPSgvGaPEa/RQN1rvXM87Joo0PyUprMEEOhaC8KWgxxFJK+F0OxKGDezC2%20vhaGFXxsETxtlYYJFeFsHOinCORIHHFnu3b2UgHeh9FZce6bGra+D9VvYRJTv6lVKrHOPltkiGnH%20DB12cG1xuRtptmCjUMrVWdrtxcxMuL1l3ls2DQ9T6MspZJv8XBuOpoXPHUIUNYPciHGWHxKiUKjF%20iBiSBo6giA39/Le/yyJpoNpJGYdwSBFVse3akUYObmRDaIQVTUr6xKYOTUyIIWPL6apz0ohKdjxv%20eZcqh2nU4qHZMM0c+j0UgmxacFSS0doYGU+X+sxM9mjlnqU2TT5AdpOOq1Gim34gFK8jm93DwuvI%20x7RDyVTVzCKYIc9qCaPw/OkzcHRPMHX7y+r9D34XEZsWmBP+jK8hI8T9tLJS5DIVktnFPvN6rTtM%20q3OMU9ehZ8goZHt1rX/38aeZB/cP/psfVF//xjcoWDGvjYixTeaI7Dwdohvbw56gx3qBEY47nePp%20+2tcLSYbPLCnljGcN65RG7DTj+fh2K8IzbDYhiBtdnnJdxbeyaEiqpeWCS5kN+nvEOzZR73Bzx5e%20TxhHXPlrL52BMnaQFJcMxqng/VO83s1wkzMlwmRFbIP3ki7VmukrlFe5Lh3dVUYg7SFi3yDi/OC3%20H1Nz4UxwX5Nwe2/fRg96Fowalbmvv/48ECADURfHM3/u808/g46HNjXQ321a3xUueoRhF8t9Hofz%20y3c/rT4AB25iGOMxZFUteKlxMYWg/tju9urs2UPIbKLfwXNe47y3A33ZaTczDV2Taz5xbKj6kz/5%207zijc9DhfhzZgh74/t//wQ/IDHZXv/zrX8YATj6aRWbzEo4PDRim7hyh4LuLyF+sVcfpVjKwcf2F%20U/xMJGrgx7nRsdr+E/6u8AWPqlE7SeDG3nuMKFd+R8zV/Z3YJZa8wHgF0Cv4cL13SzSsMX0W+CsG%202mxTQoFZprP0bE2J2I+v616S4y/tlFd29Jk8fovERrbSd4U+NOaePSE0ryBGOtFQMca1P8j6B5P2%20W54pYQ8dhzWiJ+b6qza5ea8wAZvujvxKPvSOBZozChES9UWcX2ZqSucX0UFr894cUhdaOU3hCCuT%20mcABSyEVVP4tMd8CniwJ54op6m2XzwMqsctAE3byCUnYb6+B9QC7CVYZtvb2229SYBqCf/kpdJyr%20uR7vVWlCBfDlg4pDa+TH0cXYx3187aUXqpdeOhfKmxxlxywpe2hq5fDERwxd3dOCIDdSlws4jJ60%20JpcCQxbddNpDnYhYT2mAVEs+8lwj7we+1CJe3BikFXde5P8mLLDADHBasrPiTHn8nSHml+1D9U6j%20ppzhNFijnUqj0JfUitVQ2FVoa7mGWENq37uHxPvQmPcrG0qUk00ajNh22iKcEzzODSvdzoYXip82%20N9yBbTJIZOjwSKvqGr4dQBIL/HwMPptEA+WnUUE6l9xg8ebFsGqgLMjNE61sEl2cOHmGiPhE9Vvw%20zPfe/23B0oCzMmjU4o9FWoy213UAOOQYqfBpqvenYCTIW3fdxqFd3UMsapxIbxxKnSPXjWwtwn3w%20u08Cl/2QKPFrr75a/faX7yYKBKNJF5WRqgfzWeDNvdOKQRWPli89i5M2OHA2oS3jm+zvXgplZWYi%20NQ2uQT0IceuSYcE95rkuKltqdIODlT8tHc+2/Z/9/K/ZG5vVN179WoZ0Gon2o4RmN2g7UIiKaL73%20iecOkXHw/hZD2Xc7WJ82MF6NRicwQDsGeRf0NAdrdkrVpMA5RfT/GMOhIZ6jwCfO7nkb6kdL26km%201EBmibpHcACuhxrGA+DYKsq5Z5Yp2E08uoGcKB2rZDc9dPc9d+ootE7YHTiijCcDw+/vb0Ua91wc%20zy2G246N3ajaTp1gxJM6FyMEWA/JTG4nuBLGcX6enbk//unP0rh1CLrrDTIXs9jdY4wO4xo8Ixeg%20Bz5iHVswMoOHj2dvmgVJefXAWjTToPl1N1Y6hVWcBebK9zGO4Y9rq3lOOslAhEaxODozaaPjhkZx%20DKZON4awGPC4ZaG7FMo8rzVU0AhANYzCWfzOukEiP+t6yc+XfidO7HxMr0M7vkyQucbcQ9uotXNS%20f6Voeh6FshzbJXxhEJlaTW2ERcKfRMX1XzTWDsxIhuh1u3+/AlM8NcjN61TEjVC6OLwaQ4sRGjA3%20+ALYk1VowX+jXOfeaWj17DN0ltlCbWOAM7CMoDUOKfjY6MC/xZTvManBO9ST2IrpvLdWvLENIHJp%20hUFMQVy8UnVHkpOoU/zxeVLD06fPZhihVJluiiUST6SGKVok1cooZHoKdazte5Dgx8C9mOXmyHUM%20tcbVlHQz+sBE+fB2F3ogc7Msq1tUovXO9UPTiTU+G861fCH/i5Fys1iYNJJNh0Y2XL4Zozvl+HcO%200k6r7z5LClqP2fwK+5xAEF8j14YxWD1fDrqNKhoDo2KLqBYbjSZWeQ9TUKEivlkt0Y7+WAPt3Dyn%20YNjfr+SjQk2K96fAoPOUP7mBEb6ZRXeq9JJjptjUAzjR3YwGkhKm9x+jQ7FXQSTWNZXptBd5O3VL%20NvfmhnUDaWRXKKAegKVyBD2CT5gE8dsPP2bjlyjQSFh0XQjDQsVzJ6FOvfOt6o2vf706xnigMaJi%20R3Xp8Dxsa2FvMFyV6/sMYfXf/PpX6PnCG4fCdPX6vepHf/mzpOtv0p32AlOd34fqZauzGKnF1kjP%20WFhJymhWUKhIft02clW8FMTpJJJVkFyH0SaGzH2aSXQCD+jYNNZCCO7jbZXwgNNCORKqYl1Ma1Xg%20m8QZfIrS2ygaHRtwXm15FcozK+unW24RZ+LZcDr6zOQcutQWopAN0MGwNqp8Teuked0BOO9nX3u5%202gcj6Nrtm9X7CPA4pfwUZy7i96wbAWbVzz7Zf2A4mLYG4XXanC1C3ope+NUymJV703mYxTjlxLmD%20I7uHqn/yz/9Z2Eb/l//z/xFo5uPUeU4wcLcTo/rTn35MVAu2K8+R4vVBWE1vv/1WAoW//POfVH/9%20819V//7f/afUAV6GwvbHP/x+jJIKiL/65S+IsB/Rh7C/OkPR1Tbpy5fP51xYG5qRWcP5c2xXC85/%20U01vI+REniVINDO0wSING6zZPLZiHsrfog6RMzpNpO/7WSh0YpCNJunu04Dxup4hoQRfy/P9xBhL%20K00wIIUyaVM5uHWsWibMrEej2b1vDcSuS2m9S0JHDpttUQJBMgAOlc95moNWlVclMDITt5lNO1jw%20aGVUNM7uw6ewQwLh+l11HDomr8ts3bVtFBa/GhOXfzXPIcGn7kMEW4iqxFDawSYF2DUMRhKG9zES%20DvrjocxgHCYYBzNGW/EpqD+OP8+sMzA6cU5xaDucQk2jKu+DGMQg6cockW6U4WsSzySCksRV8CK7%20s4gSqUh/QPq7jqj5Sbpy9lEtfggD4QAbp5uW4xtAFUt0C1rddyMM0XJpSrrCYiqGnakN8kaV3OR6%20Bim8dBFZ3lm4kg2wiQXW++YRush1dCvOla4d/ixAffHI6aAJV7KkJsVo83cXRo/vgeN+pjh8i1Lj%20wGvDwfUNVJYidbNar2bG8+pf8GHkOqDokt18HBLbQVWeysBTMgZF5NcQTzEyEDO0mi61qZ0oNHgx%20GyQYFe/hsyxca6Uyaf9G1tTowVZvX2vK6R9gdj2tbAY2vfqvat+G+ylZXq0FrZpGKBic7c0YYA7T%20GhvJ2+ihkDUwNFp9iiF+D8jFMUUaHB2xj0eZy/6+IQzwG9Wf/PN/Ub0OO6IP51uqlHJBShZiROeE%20EId8anCPnzxRnSJC++Sj39El+aB679cfVO/++tPqf/7TH+Nc98MAOMq8u/HqOpOPdRpGz55s1yDn%20QqNp06LO0kwEo+b06R4U6myrla2wyH34bFxTIxyLXkJmik25C7qJchMQOKEFWMvsKFES32tigrQZ%20otj5AsGFA1Z3TOOwOKQaCR2WKbF0O+mRxmXubKl8Nxykq2g7AcY0BnGegmkX+PwrQIE7gTMugL9+%208tmF6rvf+061G8jCPTk5BZRE6r+D9Th45EDoZjuIoDtkGPFpumwgUoqiOGAMxPBIXzLEh9DMDtBR%20KD4t5tlNvUSI7ugxoAlgFoW/zEb3H+wnWzkH7IBgvgVaIUporbZRC49NUYj7d//uL8hSvqh++MM/%20QHb0JcY0vZ8BEGqHK841TNF8iKDjAKymPTRWDTpQgAel6t68UgoYvs5aMExxfSUFdNQzZFgPgWL2%20HGBiDZH/NTQ4Pv78PFnrPIVh6keo6NmYa9Nor924asbYpl3Sv1Ji8ewGa9byPTWE7lUDgic2OIax%205h7zO67oGTK0YVkxBGwfXrkcBoqvoNH03jWWq1zHBn0Fm3j5gAoEpOO0pOcdg18nfywWNJH232Za%20C6QSnDiZ5tPPv/2nZY+oCsYCafU9hNmwzsJDi0GKjBGE3N9EzNEH4PsYuF2kWoL7/o6de5op010H%20jcqo0LivSnPhmo2Wl9Fh8IoM2SW4GEVbyWwjOsl5xXNYSLPotsZkXVsxzzPSRc+jZxqgrdLhnabL%20Co1IDNPIed39vF/oZzaJ8OA0sLbBGs0tAUfsZ6yMG88pDNtUk2fwepukc2UCbGlK8NObiBhNKFVG%20WvUj1xBr+CxG0CaudEUMuBZBt49xtFPukUpxvOYWUZPt0JvBjCxkEQHwnnJauzmIam4M4/Wd6Wek%20m49EtkyIwGjbqrxEaq3BbcMYS+I3xQ/GzIYxpRLSWGFd7GQz67AwYnQeoxNpTyaz8PN2pukENT6+%20hzWBaqMn3NhAIEaIpGHtpor5z+CwpIspbuXfTUS3Tu3eEeaDNLL+TOCGl8omLsXXDnDL71T/+t/8%20m+rl117N1Gu+kW6zGMwC8vJikuwL1CSs5doeZz5bK0ZvwRQY+p9p4m0M8AcU3Pb+8R8zr/AY9LJ7%206a5LKsh9FM5pw3EW3mh5hsoz2voiMwaHxP54jDaEzkUHLam/FydtQ4kfpvpmWKlmG+W7X3m2psnR%20q/ZZYmHKlBMwTA6j8pk2hUhXdMjt6sPV1CjkBPdDNbMpRIPWRHCyiAG+DyznENclfn+K+7iEEZiB%20u3sdGp048ggwXScFvyXeV0O6FxnQO7cfpIC8l5Fk08AXBju+TjoI3WN1QbzT6dU48NvjTDTn1Bu8%20mBEpxH+ceYbHnkOdkIDKjsiBASeq38aoM8PurW+hY3GY97mVZi41YG7CrJqF/lkYRhW6NOPVX6D7%20XJQYm6vvfPs7kaW9fPkycNu9CM5/7eWvUbBlHXi+DurtYd2vMgXkyuWL1ajz9ZhinfFpNnHFSqC+%20SJDRicHuwUHM83uXKM5PYoTdIbpt95x9UPM0jt3hs2Fun5pdr+6rFrCxd8t3nn6vYYz9eifOYjd7%209g700vswjcad1UgfhbUjf6sUCWvGFGhAATxkwdrhV969NGnU7fLBgb+KTZcn1/goTCg/c47+K/BE%2046cVBI2XNYQXR7TN2YOugbYbSy3VaSIIf840zEjAqE5jYor7gHbJRRbLkN3UWsqQH/6uH4VrasRN%20as1iGH3HCHojXJyaBGoPOH5IgyGdTJA8M9JoBplj4RZ20PFEZDZFv7tdgqqiurA7UGq3EGB3nB12%207UQCi0ARmXhAqjNNlDGIqHgL6Yf8SXVbrYy6ubf6GGyq+D0P36KDIkYFduCTdu7MDm1mR8SwcajZ%206CQpYJbqWrAgdbHHCGRDfqmVedMzHMMCG3fVyMVF4PVMU+1YVMhogsN87doVMLrOzHETikiTAv85%20ZUFqkc+/ke7Mcb9u4f14czvEFH53conpa6tZBfefKLEA/QbppcrM8+xlDfaqocv3bSFWf6CLqLTp%20cU+1AdXLAoW/bzZUqEEl7QsNjfcU6tC5dSF2Y1fe+fNXwy3u5TrEVBV8kqaoQ/r6W29V/+t/8z/G%20EKdoo6CRcI4wDN5LfZCMcXfyt9AIhdB1HvIGDlMJTdvcPegjFBX/t/+7/wFs9KbuNoL4+9DWHTp/%20AUoZUyme2eolOi6GXsaAEazQhO3lEYDimZjKPyRq7A38QPEWZ+5rnnzppWqUBpWPKRLKrVcMSDEl%2094fsF4EXVTl2wB03PRZT97U8WQYjpbHE4izSmjArxJ2bwVHNDiaX7wROMCo9w2TmwxjnddbjHoXT%20m2gC3yPLaeZcHUKs/RAGTS1p6VQPcdgdRILHaYS5dOUhUNB59si+RLnu907WU6csdBiDzLUaKInZ%20r8t3JarfD7a7SYa5jLEfBEK5S6v1TSLpPiAW5+I54km6qCppvUTa08CNZpRdMD0s+Nmk41nZBS68%20G2Ppvv35z38RcaWXX36ZIGeIMw8biuv155I1s859MJWcHdnFHj548GC1xT5WNiCCT6yRhTIz1iXO%20woyQhPgze+0e0bgaKcJcIbS474L/Fvw19LFkay58oTbm7BsqmckVW+dPFrtXQwjlK8UwS8uLjjZ7%204hq87XsQDYQm3AdEIjgAI2678Tyw5TUToGkb8trcQ/aT2WQxsGkW8zWtj9WGumzNp47AJO7ZyD33%20Up/X3/9Z/918kh5zp3UYJRmlGOEoHmSE5wt78MVfjeqM1DaBELpIAU17JifxLDAWvPy0sXoIBe+5%20UFPuREHgd3KSvTknETRGmJjqSHlSVD4z5fiMUdBw2CnFhrehxM0RxTNlEjGqNlZ4XUZJ8VoYAw32%20rrE9gUIm4VJOUvBYW3+UirOYk1NIVObSPXRH8B2us+R/HrIVWg1xi5+m0XJkeWF/thPZTA2HeGQ/%200ccI8m6jj5H7zGYwEmUxOByz/Ow9DRO4qIdqUjzPhhALgabQbhpW2FRSGULlCaUR3if6s1gnFLEH%20w3CYTawAi4wA1bqcEzjrmHlZFWzu5RYiejZQC6tsD/8QHW9zsFUsCMqhtdlGuCK0Hq5NwzRIpOZB%20XOdwOsbHxokWUsopmmSk6OwCeuhiLRobOlURo063fI2ZG525HjdoG24VZ6aVdxa8zWevEXueMUb/%207F/8Cwzxa8Gj/X2LLkurC1w/DtRp1lxfC9i1bbZtRIFGsnLPU5g1+5Gryh5TMXAMg/xN4I4VtUMy%20CWZH5CEfkmZrdMIhzrkpjkPTWRwS1Da7MvMPHA3PVUdomqjzEoUYZ7RRZ8+96vTZszhviqIYoSUL%20NexljYCRdNJt9qvFbAOQatsWG5wHUb7FySZ+BgIIEd4ck1Vkn6iJUaIkuxp7maRyG4d7gwKqmUgX%20+0KpgEGKbOSKgbXELDXCOgypop1kS22OK2MN181kWOPPv7gB22gKuIZZeCrzkY1Icfvwg89zBneR%207T3gfCrGPjZqZ9k69DkkZjmjS7Q3N7EFP/74Y2DEi3F4MwQhixTYbUefJMAap5nli88/zzk5xsDS%20k4zvOnDgcDSQb6G5oS6ElDMxXIOKzz75NHWeI8jWWpR1P99DPnQfuhFjBGe26LuTWnjmGu0NjHyG%20PXDOVrALE8Aol4m+LzAOi7mmVTtDEOZioMnALOo5kAeDGLNasMAEWzr0kCNiqjWyxTnVprbO54o5%20Tg9JbYiL4y60Xc+DSPM69uYxGtGhYVoYTJdITbeLsSzxWKCIWNNyfsvMuxIpx2Y3olzPdv2eTw1s%20+b2ENLVzKE7E+6m/lqzZ/5Vs1O82HwCXS+eSKSA/oMczPLf92QOk5xWqsJNHUF24QmhBzU8trKmd%20eqi+nEU8DWxGINFyXLqvSoqs8fHrdkBJmxtAzFyMZny88Hwziw9jLP+3z/ZpLnFVaEOxSDyvkoZG%20I9E95jol1msks0Sh1qloBhjPRnzEJjHd6x+k0k3UfpdNp4eXlrTEz8gBnuUaRkylhUsEqXjwraSm%20vdyPaVVvhK1L4dIspo/v9YP/drMSHT5PHrQ0ty1ec5Zn90DYgEhVjY1b4OUr4a8S3Yt7EUlm6CuF%20NVPz0rUDx5aowMYDjaLiMFIFrxPFXL0GRYpD6rBQneVrsArOQFtyDZaJbORbW8SQleKg1+McDtPw%20SKFiwISJpAoagesMB3oRnaFZZie43Q641asUqqagQ/XB5HCqRzvPTlw/tJ7a0zvxwNRcLFRFsKvM%20SlMUvb2TyJ9ihxGyI43EYP/we9+joeUbibhspBGimkJsx8YNx2rlGbLuvt76JvgksIEHPRMUnJPo%20HuF+HUdkkVcGgBM0HChrpX6ZZ7TP9nla7hdw/mGA6OtDSCp6B2FUkFp2PlaQyp0Npg380trUXR1n%20tJbTTe7TcLFC/nsDWdgPKGwpcGUUvMq9rmFMuyk+9eDctvDQYrWycDJIlnfxPRyDZQF6FdEo97YT%200+Vlt7DG7QkciPpYg+NEvHsoEtnl9xkR/TJZE7oDzBmUK878QL43LxOIs2VwchmjfRAoZsSZjuzX%20m0xv2YTW5bBtIQIzJddlhGdzDsnOB0hU2g+whzmQZv9eg7zyBSCRsKBwevdv3Cd7HYgAl+7qALP5%20Kqh3jLym+PZCssNfUzidIEq3wUWetDMmR+mKVKB/npqMk3XEk3Wgcc4YHRkpZr0GX9MYV9kV/SrP%204aDUotYuqce9aes8EfBjJQPoeG0mkFlhb1xnDR7O0eXGz62RxWZ+iwxAqW1CAAYwddRbH+4EPrX3%20zd9CN4uRa3ydw6TtyveKHffnC89Xk1hnfe4Y60HWxgi+hCVKqlWCpZSGggf7IqW9u7yfr9WItAsO%20nPpKfrb83Y9in/3d/OvJ12t0ufyYXX3cZ4IQf4EXLiQCbKlV0hVHHmGEIppRdykVcj29/06AzQ/r%20KUrRy/ZiVZOMIgYGmU6La7hLtGdFVXjDi+kg+hE/XqeAJ5WoiJXD3+TNS1oOSO90XQ6RtCaNhk5B%20OMNpw03isGykIhLjzC4Hp9reihKYHECMyopEcrvUuKjbpLUaANtOB/DSVsid5Ht//F7oJ45meszG%20WpMPzHvf4P36iYpslaXqlshBfNYCWp/whZ4TIy9jQXpOq5tcWIVD0SRXUEPMlW1yTwtct9oT63Ua%207EZ2pp0GYTSKcaSI6ANYBJKjaM/+Jil6Cm9hobTRLGBxhgJgxlQVrLofStpJpnB88523q1de+Vo6%20HMeZ6mGkI33qrjgqz6QhG6ohU3FPvNzMw3bnxXn53WtkCPC9F5ElRZjn3q3rafawQKY4SjiQdt3x%20nD30ZjfijxbwBoEo5FzeJlJqdBqZskeFjfzyzNkz1fd+8EfRt14larIQ6My1W7duZD011mZVRnIW%20Cz0cjVggTA6rzIoPyZFmk+7CUI1T+PoElkWPguUYGjvKBikSHT9xkvE/v43xFj4wytgZFXGbaGwB%20B7YSNgL4tfhifcJG9z7plBSIFFlvJ+1xbM6XNKvMocEip3gNB7uMke7uKzMf16lJKJsqbFGaBQyy%20YQPxvSGe7cP7NA5BRvcQLeGYDB6McNVLvgI8YZT/xiuvwOfdRzPLneoixcfbGOZ1Xs8pG004QQvK%20szjOe+C794CvjhPhvkpmYeFvSUlQjJP6Uh54C+KOYHIi+hgG+9XXX4b18MvofC9KjWMtbLRxmo76%20xIPUc9QY7+k9EDaSqokJungeBw43V29/+9sIx/8XnN5D9tUZNI+/EY3w2+wtI39HjLln2/YXGcpx%20zpBjp96EHWPRfoL3uY4QkbStPe5vp6LIpWb/d9n0w79XCVxsh3aIb1oh5GJzBofJqCcWb/G7RS0t%20Rk7Hyl4AoEzWEEPXMLQxPY1iXTF8ydhiFRpGr/7TPxIwF3JbrGMdmTaCV3/HiSHFEDYMbOkArN+q%20Nqb+0fitYoxTh9AAF9v75Ofqf5Wbqa+pmPQa8qgj6Vx1srY6subshjhrTYrvNSskIgxgi6RfUHxE%2072+0KTbmJrMa7wBGD1onUobqEsjCsPtHNTajVSv04sUqvKmfELF2XlGh70xwdcOwoQMxckFSTCyQ%20rOIIjBpNB/uJ3roxtgYjTbaXsrC+TqPTRmPZRQOBFfk1/mwIXHjtym1ugs3t5QD07euNloJFM6lc%20GkThCm+8bf/RagjjugHP8QH3M4KhaJY7zPU3BsTEk5q6gB1v6e1lX4R/bZs0FK4sJDdiGgxMMQFD%20BPdEukW3oawG7xxjIDxj16KYupX7HpyM8M4615lZgNy7B/zFF19AcQ4ZUnbnS0Q+zx1TOxdRIApA%20RiY/+tF/qS5dvBBeq80CDzm8mWNG5GYkbAQiDKP4zRnSx346zlr4WYXE52cHcW5ELcE9yQiIEOfg%20fL/28llSUqv1QB+J4lWjckpzwe8sWJi2D9GiaxQ8Cc6WLjU+FIYXP7Vb6403Xq+OM7jSe3Lr2Sj0%20ACfhgTkMfUtY5v33f8MaWNU/wvfuZz2PoJsROuUyOswOlGRP8bgDz+yngec8rI1b4Iryxx1S2QWk%20EBlXsUT3s1hkjSU2ohMphzttw9VR2jGo+LfwAntBqpIYYfBqXuAhsIRt+N04uEQnWD5hgg4gnC2i%20YlXa5NbvjKExNXXShtoMRHk8BgXZbRhRi6E9xkHjX9rnr14DniD1fw7e71EojU3s9XaK4Rcwytdv%203a3uUPsYYxRUJ/DFFMUzs0L1gh86hZx9OMye8Elr4NZgObhvbYm+u/M2BV6m7fB2Mmtu87sZa8/+%20nZujndlsk0xD6Eu4y9c6R4u50axDgHu412+SwdjMc+smToNIX42Z5+imdI/evglsBqz1/KnTTN24%20ynvNI3Q/Cv1tfxq63Kuec22BP28mmyI+z3cHz2EXXO6dZGQWjzXIdJHT+EQmxNqucWZ6gdaeRw9j%20XDEwBuoa6KiDLYwkS8Z1/FsNHesc+lgOVlDl/PmsROUT3DaRsTgxfwb3fcbI5twWuEKoIXoWDaNe%20R7d/m+xljHRt+usYuBFQl6/XF21m+OxHo4ml8bVE6gm1NepizUXSU50QA4/mSdLqAnLHbGcBu/id%20RDPig3xtkYjDKEPR6d5+u8MUpV6mCDAdmtuOneBctk+a1rNpbTwQ7zSS9XD17kJukL+7gKs2LXD4%20jTycLm233zQH2OtUw3X/gb287kMKDXh8Il9VsBoubANMbA7HoZPwa4FK9ChESSO0Q2v8HN2u8TAK%20Uye3GfU405pHVE53QW4fJjXdLazC5n/AtS9KweHeW3koO70OIQQjIUVI3FZS24i0nKBsBd4HpzMx%20ylBTVg3hLxAougTPdMICGa99cBfv2YwcpKN7MDgaoEU28DbPU5zUTbiF4d4gGjuCtsM333wzEXMG%20wGJkxX41kEZpUxjP3/z2NxjkHyWCVcxG+qCatE7u7WGd3BA60MvMUzNqGSdLMVXeRQHJw4VlShHW%20FmifvRG07BIjXlO2yH7XBiUpYKiGprvoTbMmVu5d70QkFiD8CZyOxd1Dhw+G5eH6C5Br6M2uLPA6%20DHSJrr9fv/vL7Im3vvUWlMX3wzr41//qfwVMAgvGTMFilBKMqUwDFyhPyTo8wOm8BK1K7HYNaMYU%20NnMJUwR5CtSVfK2I0hv1SC1T9lTnukYVdQIjN4MBCM3I+9MxCU0Qgc4iQengXIWpligmTrEvlpVq%20BEJaIcPZyX4zayJWjBC+okW2wetIuoRLeJ6dvJfaw4/5HAaSku73c1qcVa07jkMUAjnB1A2H3L73%20/u+A0RipRco+hIPywwafATKQU8dPZfK0UNR5rmsNveZBCtc2niySCQ2wnx4QDfu6PpPNBApFd3mF%20QuKuMbIfaZFkiJfSHdcGnn8qWaujod584+vJGP/tv/0P1cWL1wLzffzR5zxysiQocUItTqaRVqmh%20kKnjDEYbPs6cOhnHbxbWxoQTM85JonVn/60DmeCdobeR/XAGl52II1Rpqq/eh+dYyIsxUzY6DWHg%20b8PH9vt6lkZx7m+Gmk/MWLHDjcDzKyav/sd/5XuxfV/5rM2q7BuNtuJGf9vrfdWsPrXqjRf8X/yd%203/uBEsznQ9ukiJXvrN72AQK0QcfeiVP6Uehlj8GBYB00z3LISlFEJyRTYpTig4NALcDLVTSd92vS%20zMbRXJWwrmh3RqpgaJbsjY9Rg/PIpt3Aw6tRkWIeB8ZiTIpVtsR6iIiOfA0FPYQHNFaRNAc7i3cz%20PbCYYIqPp5fvaNeVBkqjbORlZLhIMW8DfnK/xHuuZwIs7PK122yspYiI1/NpKdTRICDfVtYIX9Ug%20N6lu7df07BmLU3jXjpvZxBGIdVtFdXmtZM+RCj4kenjEM3yogyECPXL4WNVOBGDqq+CJPf4TsADc%20nNLVrjMIUqMhbHOaDf6dt9+ujoH5Gr0bBVtMtV1cwySP1XZl2QtffPEFlfG7KS6J2V4HZ9zPAToM%20Af/2bWQxiaw9PPcmcJDTH0BZulkdgNfcA5a4iwi7GzxV9+KwynZeo4P2ZYujNjY04WgshGlkSz5T%20xFA6EfsZwJjfQwxq3eKrUFb93xYVewtBjqp/zEETRhJcsetSvHoKOOTipS8DHfm6Ru8XiHbHwX13%20g0mq++tHROgVxNlZDqztojJ63Ec+i3GniFu5lolhQc1IsOZUl63dOEp1dMp1ZXglyyTv9BFNBHcZ%20WS+XviFK0zgV2+GAWzRy4i+DQgku5jBGaufKDLLbro33nZ5eqrqJIjXYslmaWPtu0u4hMrf7GJ52%203sysbdnuOQyxkeL0w/nqV7/+JPrKrtnXbGB58RXWjfb9+WvZv104nXT64ewHewdhvkC/5HbmCRJ+%20x+9ev/agOnOSSSRE0DaVKB9g49o8jnUvcI73p0bGY4KCHtbKDMjp3sqEKsI+Q0Y7CYXrE/DxI4cO%20o7J2ko7WL6svPr1IEVS4r7BO1LKw606ISJ7+B3CKPfgrGNrb89erOV7ne3/43ercmTOBHi1fz+Os%20XMtxqHGqKJolaCsewtLwz1DAuJdMXebfK2DHW4j7q7HShhO2pT25uIIwMXCllPUVLLi2ZynIhnLm%20Fwxpyx9fMaKJhuuIuP65OOnED4XFUCLvhM41y0O7V7jLJRB4+ooNA/6V2lwus36dRMT1DmyE33+H%20gX4i15lCoGp+ODUc+lGCsSPofuBRqSuwwEbGDf6cnTmm9qo/GbVEp4AftJoe44dRsmKvgZbt0FA1%20Mn3Z4ej5Govxnk2nHAaqwXcah3et1qm4pFjbCsbZw60j8KGoeeGma8NwJC2xKaEIBpRDw8ZPb3h0%20kzHgivWET6oxkLhOlXoJJgUH380uLiRO69hyJyGMgFmZLl1jE21jYJu5j04udIUN0WWBhkOTtzUt%20kj+dg42ToGOsFdWuHltfMZRi4Fa3qz5oac7X4mAes3GA4tYaXWmb4HdLpO0K/1rdtxBnNDxKpCrP%20WI9oUdTC3Gk2+GkKVQcOHEzl+GtgjUbFRsSfY4Bvc61nqPyfJd106oI6HLcxxFIKVQJ7soV42C6u%20QxW1LveQxHyEEe2nsr8fozwCdNELk34XRZ023tt7aEOvIkXKFER83EVJzskaLTBJJNtbbJDsn24j%20Ilrbnc1YLH70Ykj7MRRL6oawR+QPO125DbrQNdLcP/3T/8y+aQGaGctB8sCLe9tJ91/+/M/Dn34H%20Z7SfNDiqgOLVtaG1w82hmj/+87/MGKO3vvn16EOIhauzrOsoI1LrcKME7YmoF4h4xbsdeS/lzGwv%20h43vifVvAyEVOFGM0gNcjpzPfZ191IGRGmIA5x7w3TbuqbOaqE4j/nMA57NOJ10nHN4ufraP++hm%20rVuNcnAozTx3Oz2lfHV2NqdYbBNHE00ccuJ370H/GGlOeyIWEKzq7CI7pIN1FC3vFl7nOkZR4asB%20xOfP0AyzhSHfybM+A1tFWELGxgLOwqs1g/L9PZctc659axxz+LxkGc+fOkQ7tSJJfegzn6peefmN%201Fruww8+iMiPnarCRVkXjOlNmA0Xz1/DUQ5Wp58/yainw9H4mJazzM/dSlenjWCKMHWmmWaUzEf6%204Rr3IO5/l5+5TXFUHN6MzPUxw3IqtYXSLZ6t1aIVqZcxioXmGl2mBDl1FFvS9Pw7/+8axfDVVLaa%20xlkghrqMV4fNRZGzfE2+fenSK4W6Bu0trdcx8PEbBcP1tZ4xqkURsPycmXBtdktgGOdRDHP5KN//%20fR7x06Jf4/fLNXh9Qmr2R/QxtfwxWZIBgHyYJ/5A49uD3ulmqx1Y4J8cLH9ZqMDK8pTVclLeVhkR%20PMTrV2/S5TYSqMGwe53N4sIZwUiTk91WRmizeQjH9ar+nhM+NNBGQIX2Ba1Mz8p1hsbGgXGygAsQ%20LNuHz8ORURHBeiI9CyrpwnEUOD8ouX4tY9Vle1AgUeyF750Et9smOreRYJso0MOiodvgtbp4/z4M%20mNIgC0TiRmAODXXigGkzxzhtsa294IlE3/McjPvQtaZI9wEcku5uGAFj3PZShTbiu08KOa8QOMZA%20fDPtyqy2TA67785S8BKP1GiZ8t1gA5/ma+1qMWIU2oRQOAQXaQwwipHsL91QgyUXV5xdx+nfNR43%20wPx1OG4qC2IyDR6rUmeLMp92KnrQbvH9Ycj+R/aNkPp2EYkhmYrBkQrl822SC25knM1n44vRA3uB%20SNCUXYqWHNhVKuyh+vDpAEvhBzd70Raxu2+Twuhwxrvb3GKx1yzHfSC04XUp4GSdwX3j2hvtmuE4%206FMYp+hUF9nV9957L+OOvvbyC1E5i3SrkEUI+kTL2fFlllkKj8I/dmLxWnZA+vo6lOw1p3jX5yc8%201fqweTjKWaduQRaybxcyojjiDpzXQQqfLzAR5Rx49wgOeYKJzQ6FbVvF8bFevRpD9ks3Rdh5HEUf%20MNnDCWYtttLARFChcR/qx4lw3RozayIu1qOHBjgIXJFZKJ2pg3pAhjlDd5qBjcyJY0cOhmbm+htB%20vffL39A2Dr2QzGON+1tc4Tk6PJNnaRPNHvafYvXWBQZwHGL6jhw6h7CT0fJvUGi7inTtIwKtSYa0%20blNElkrmLL7HmwzePLS/+uM//h7NHEf5HjoqZFcKCm1g4G+gKW69wtlyymqq8mYg577u4GtmjHYo%20Why1k1AMWKdezKKqe+UMbxKc2SYuBh8DkZmQhtJPI9h6KYrBq+1YYVnU3XSN6Da4cZGTde/7IRbs%20W+o00kHL+qdzM9rKxTDbuZjXjRdoOIDizMt7lwg7lrHY7KdGt3GdxR6Xj/oXn/5c/eUnv/f0L9oq%20z5Z0wiExeDJvCRQZCLFGhdkPDaiGzgtQ3EeSt5xPMSyjG4kjGd3D36Ri+XfbeQc4cOoUa4xnEZj3%20Lq3QmyeWa7SJA2k+okqr3Rprf0fxIC9C6lnm4rHAvRgIq+KFnCuJXeU4Ii4hALUJ1HMgGhOvazVl%20BckzqJFq5+F2A4mD9dL8oSD2EgZxSwIjRkVIQpaDBHe7rCJowmZYinqTEYIGA8jGYmY6vXZUfWBw%204noWIVcoEN6loPTl7UdU4ZF1RA/D/WXgbgvoNYoy587APiAClzVin7sbSKPiPbspLAgJRRj9OXzS%20UeW2yBodLPC9A/CMjXjEjn/FUElVs4wyujCY98HnPAQe6CI8QhMCDsWf1ZhZafdgKvLNAyMjYd3Y%20bEW9DF1nfmc/GgjOvJtH60N1PQ+oz1TGQ4km6u49o2OfkZEk/2lIhSSc5vGIg97E/LB2DILRUZTj%20lN7EIZglDcP11qAZlZzG+XyGpoP3Jk7mBlcnwQ+pet/7/vfTICAuGRyeP1N48vmLC/PeDzD+Fnkz%20Mkf+sntUQyycVJj5yZr8txQw4QhFwgvuVmIpC2FCYU1oMdiJk2MZA1woTa6NzAkPsq3mTjN3ptsA%20af8oGr+9UHrauKY56g5b4Ljb6nKjIDgEdDHk4EscVh+Hf4GodxUHcyesGnRTMDqPdkxXBxFL6ufg%20PeRe0gbPfLmpaZX3aKMHmjOCdNKzMJutzqqjmZmN4HxmeM9fMt35eYqkj+zA4zr6DEYw3ksLk2mq%206gKSk8stp0+XuqLuBxFw5vNBYVST4vN7n9A9+SmRMXRKIN7+AWbL7RuCazxb3YYd8sqZsep/8z/9%20a4KFsxT77uLArzHp+WKKdQZSDvsUarLjNZ2PnmnvhWvutMvRuoLNIzhsDd+809KN3A1GsLkaQFuM%20V/hsaJkkYrU4bo+B2cqzBk4r+AxGUBJucV4NZMLcrJeFfxth0gRTG+OGYW7UwiITwLDjMkxUg1xH%20sTG6DQijGN7YVv/P/VMb7a+U5fhaQxD+iS1+xug+DW2fuZm8X3nJxOA8Dwt2RsbCW+L/spuaVxgw%206odGzZ8VP+vu3AC/gpDOC9wCt/MXwhXV03nz/nLGvaAkZYGERotUrjkQQgK2F8qfVXVJ7qqLF1Eb%20CiVrYMCm6hrPh4oDtQkFlINstKXn1F31ULnuIQWW1SEOqREbIWKxMBQWAa+fuW0YmSEMwBEq90ZD%20dhm5GTL4Usdn7zK9qHrxzXa1G4jIuZ80C3AvMKPjCdthibTR0We65YQBF7hvN2I6pKpixR0YxDYe%204DKbyWq5Fft+iobC8PP29nNIrUDv57176cTSSCmk7gRrYR15zhcvXsq1dxEdpeCloeP5/OxnP6s+%20/fTTiC55AHU+v/zlLyPSLxQjncqxOUaacW96dxkqGnkdKc9OJ7XKgR/j90ch3N8H3rhBdK1Rbmdy%207xjFy6NEWsppbtotuIIWAIWXjky/cHqIWL2bpkHoMb10vAz3ToRlBO3zv0njh9xVi4gWYL1Po4vS%20FspzlH+KwXaMkJiv1+h0YQ2x2Yz3phqY8IGF2n1wZZ2QocEM35JdK0Thv/3ZDjKSEdqOxb7dAxra%20wBFSDIM1lJNQ0mEjIIu3OnL2HK/RSfrfwTiknUBirnMUvzwc4bTW6WXdDWo2dJ+i4SMYHK/SoTdC%20cLATzexNJ4mzt5rAxVvxwG1wZp0DKTuoC2MsbCJmKmd7g9ft7bxfzWGsxa1nHzHE8z4t+DhN1flk%20+xw9OoPx/LIUvLl26aA6WS9HbZGDOAOboWZgMPRASbhCnUEZUTMJoS6dpOdpGLrfGpCJjsxzofAS%20tAaYRHCkec1pMppeoCyjRFu41cno7WIvjPTQ4PEcmdoJmj4uVV2fX2ay9MvsjyMUeuGHA4FZ09jF%20XnLkvcHSEvtYdpISrxbJdSAzTpbna54nsX459DHUMkui9SCUifZ4tLvJfhx2pv1lfYUpFDlq00Yo%20XmUB1+ClsaDuppo07HNpGMRnO+xcPb9eNIJLVBz4I3WAkpGXzJs1l0qn8JWGP/tFeQN9Qfm+W6/e%20SnUEXYx0CY7N0kvcW4ytjrz+foxnbY3r/Vv/65kv5hcTjauNY/u6UgWyxaTuWg+xl6E5GGP9EVjN%20Dc1CuLD6KrnAFmicAZVxJT4wGzu4AhdtnY1uV5D8WDdSM1iRqZEV9RYihVBOTHvreN+22CW+ZOrj%20qTCi01CuwUceZ86dRqsdnQKLSjI6jLRaKW6ZhgkVeFDll2445SIRlWQBohbggUAaeFgn9YrbNSFf%202NIKtkvK6QM3kmonGtzmCYQwxHt0gLUNZ/wNOhzOFJOcb8MARqhJ7Jo3cCPaVTiCsXzjzVeoWg9V%20d6hqL3OPRmpdMCcU7V6cpW8f8ZcB5A4Zu51UzUhNrDRyexzUjJdX1Q4+aCMd0ujIGbXBxuhOY+LG%20dt6cB5oSUtLZ0VGj/5J2Kdrka0ljMpPRkQkD9dk0g9H2MN662hwD5ocNDorKLIk9GmGyjhHSF6vj%20NV2fxoass0D+7YGSWdOH+Mtq4CGF7y1eeiiFTqRNWeSMQbR5g/0jnHQHrrA4sBQ2R8QbibsG0umM%20iu3e+vFf/mXkPi0qioWb/VikVQNFB+YuP4IDeQ31MFXI1Dex6ag8t5I/JiouAXIOjRGjMIujowJj%208G/ZHu0Y4y7WvAUsdx79ZbWZbQAoHwVbNBJZ4bDeRrHsd3Sb9dugQaZ2kCJqn+JZQHRKPvbCT1+z%20k8vDHN0Fx08xFcMnBqzkYNUmGEbWphyP99n5G7B43q9eYv7dbpyPB1lKmyL4UuAWaBJqOSpkR+bA%20HnCepO/hPdm4sURXXzjbdsC2OzzYIh3qcxg6o8SoLPK711Fzs5irKqLZzm4K7kaOnpfjR44ilTma%20gEUZ2xFgNX//9MmjFPfGwn++eP6LIi3Jp8GW2XFUACmiytLxesZ2D7Ln+rP3hGCCxQs/qB8gwyMZ%20cWHnuHcKd93IV66usgcUx9kzwxQL7WrRMiyswMEWnvQwB46ojdczVi3MNrNlfr5oRpS1M0v0M00U%20GjvZT8mW6lpTVrfhdBut/oVnLFlgZzr+iqF99qNR9Cu746kxzkv5+g1Mo/FLtSF+9uulaFcyvKLs%20JqpAxu2keoJNHZHW115n/2zuwVM+ey3eRDOb2UpstA/49zLpfQ+pEMIMMXjOfdui+u31SCuT8mUK%206QTaLn5HsfG0Nj9GsLyOVBY4jDNTJZrr7S0bPwUE/tpP+ru+YYQFK4BF2r0bFajhvlyWm6GdiMC0%207Tb4qh8OrAw+bCWa95YU7+wyT6bMAw2TDRlb2x5uRdq51rJSGGSiLQZzGsnILx4a0uBT1MLIezb1%20VBLujRIdwaPR6lRq0XZnjIEt04colPjQLtEptgDMshy8HAMK9ra+QWcVRRadlec7i87PCvX41Bcc%20mol9lNqnd7aQJ9XM9lH/tDAnPGQbqnjsTgppQkhysd3oGnU7nKLqhmEawFmZPlrcm6YKb5XWZ+uf%20MkvaKB6lJZdPtQjE/t34VuY9lD7Lxqy5dEMlSiiaAlvRdV0PR3sOY+Z+8MB4XIYwEvuZFNxsIVXt%20Xrea6SC/YzHp1VdfoUnjWAyhBUe1pf2+0f/XXno5kM0tDLZj2aXNWZ3XEbl2FnFlhtjQcRbe9Q8Q%20C3LK8jVSbzOwQA7yvt08Fo6zoXF0FInEuMVcNa7J9NhjUiHFXbehOfYM7iK6f1AtQHcrIEwJMCI0%20ZMoKBDEBI+C3iMrbFr+rh9ZtnAH952lOcH/vENbhfdTGxfIGKlh0oAFZoU36O4B+FMx3ojdFiHTI%20KRGZIaesQytMlgPARTbnHANbd3qGMJ06xYtwny+jZKbD0iALF3WiVaETivAR2aI8+0zEydQKdTIs%20nvN32tTbwbVbWHOLsnbRKnfzmMBnZHCk2kdQM8t+FcPf5HoegsXHgXMPMifu4Qwd0SRMaLOWQZnZ%20rrYgczJ5njpYjYzduN5LjFWMk397BgIIpCBlkZpTMkPHd1EMJ5NWdH8UKMYIeZJmHKG+EoTWWhCJ%20aGsrx98942L+CRv9QZuu3Kv8vwSDwB0GZfnaU1DhKwY1sJS/XkxvPsNTL7sg91F/GsIme6pttF8v%20IWt5nwQBz2Rl9ZUW+CvfLC8UNcH6PtTHMPp1nfucy8ifRWGn0d6C3bVwlotw3/B3MUT/NGIyInZg%20obO49LRrG+q9llsJfozrF4T24pXFbG/tTHV9i2KAbxwEWk/nJNW6w0qcxEYIb0YDZxV+5w4uDrK9%20RPqDh/fHIGtoHqjHy+YRuhDu0LCbEqnPsKC2MtcgLJIW3uCMGHsLeI4oojDgodzEOKrwpkB0K5uV%20fYwsorqkHkAML9e2Mj9FhTe5TYkUPaJcnymNbbweigGuWbGdRVWkeN1d6EKIh10Hl7uBeLfYex0k%20JMXTRJgK+2A1YEYcG4wYMrpzWxhR7iLiMtXXoIoV2/WUMfc9jIfisDj1xNZnFzddeWEDED2RGoof%20xjBzLbbG3ne6LwpUjT3iQuNz8MDwnYUF+JkNCneZKZeIEfzdtmkHnD6JRsoW9yPFD/600NgDhdFD%20K84lg0IOqkVcN54Rr5BFwe1UN5MRsQ2N8HAM+tWrl4iUF6tXX3kVZzPAGPp34dk+QmrzGzSonM3e%20k77mYdeQGq3bZOTXhKEO8jrirWsYa7/vRRkV+nPeSqyV7aU6X/aHBt1MQ2NlFN8BrrsJhGSwoFyr%20mLBGPHoobnoZOx54noH6F05GsZXXa54kw7p7vygB7qfYuau3o9oNXNJH0KGsqde+IqWNi3ofjYcO%20sqs53h8dqULntAjJa4+NAh+R2SgQtHTNycvrgf8chrAHhoWt4RY270arpC9G1Pu0+7WXZ+41bZti%201/vfu1WPxY4/BW/c973USLqdGJ0BqQxfsI1aDN4MVMhHAXX1lZ1JKQUvBgwcl8x2AxhGB+1ED+U7%20zUINFnxPn3Mf+/8A+iQXL9+ofv0eSorc8/Awz4HZjgY4BgkZJMrztavU6SEK/ahpbl+BDl3lwjU6%20itQH2QA2ZAclWp6GcmqDkXDk03y/mMboVdvoxTMoGZhiQ14/xXjtk3ZZE1ifj1imOhr1FWLga4Pa%20EOwpRr/UDAI9PBPhNox0MqWn/8jPF0CwGOLGn78fHD/5fuNnnvxww1zb1EQvgo1DwoKxTA0sGWNs%20NVTAO2OQuGFJ4eJ+hWqCIA3pjFSz6xSvbt8t/NdMaeXhqZcqbcnUR3qMi2HE5NwupzeE/sTPaHwb%20rar+bqN6biSrYQqtif9M2x5AUJ+bnox4isbIjZdojJ0vdqshVtpRF2Ibcac0LIzk/gMIrXAvfk9I%20YY0IR3nHdQ01T82Fb0KFrR2jEegFtyU0ovHwMEvsD37kLK7gsarICcfw+4rV2MDBwdYa7mST9Uhl%20ApKZ6ZqpJjxMJhFs5HU2nDYjXlpYQqdj27a4JK9t8aILutkeJio7EFIIQEehh9agtUIX7GHz++mH%20AuZ2PwnFmKq6EYUzjAbcpJl2Qmqs3R8dpTCKgXUQq9CPEXQGjnINCjpJb+vyoJgkCFUIxYj31WHA%20sxswFEKuR1qjBVkbMTQU+7nuL0hnpfjdoOvvDNQ86XsWWrVOrq2RkPfqVJhdGDgjcIXCdTzhCbPX%20bFs3a5gSwqDRokS0YnoUfxT2xtnqAB5zD9MWvjD+rqswlPxYm3Cik5zJw/yd9342Eoql5ENHbeZg%20dDxINOaEcDUl3Hfltks0IxtDwZ2TcL/3QqFbIPO4igzkDVL/Syh93eCzl33Yx/MbIiIcgpJkgc+W%20+lXW4rYtw8vXMcQ4SCIR+fAhXrIuCziDVayyk0SuUAew4KyzmKQL7fKla8k652024RwoHuTznJp+%20hKEksHB9NnS6ZqIUbdmjFjlt8lCZcIX12btvd4yxFmQdLFvHLXvDLMXaiWOhNt3rfM/9E1VGRZrw%20ZopN2VmrGNAytL11Ai7V1QqNjXsQttBJcm4tsD+axNnwb5tDFmjoUdbWh+8osWiGWOyEhZKCGs9A%20FTwj902q3Iu8/8wc55pn8ZiInhQibevysJP6P7VZBdNlo/qnBth96ILFiSQwoZAdLFhqq7WX+pef%20QE919Pt7RrQYbKPiGjN+5j2fQgxlJFcjOC+GvVzd36CvPWORy5PIRiyGPn9t4NEFtrEnwgC3Eayq%20edIoIlLjKB1nbmi/mEKOkRwPcBcV5UOHDqQgY9FtlMM0QUTm5NfdRHVHjx7HAIwxtvtCMFBZBwNw%20G8fG4NNicOQ0KnQiTahwO4tAvcUVozG5wh1EPVLdNL7rRL9TaMOmmBgHUYowyRH8w1loScOBGlh8%20qWmS8n0du8HsQqMyVLiqNilosGvvagTojbqhH7NJU1jkgSnh2aFKXOhdhkhGx2K7Tl1W6lNcibSf%20A20kUkREiMKIPsS/wrUFQ8OlRM0LQIL5ZdyPLaLlskNx63AcO5GhG3aYwp8YrkwJP8SUXWQ7oCYR%20X/FZhDnBhhOT9DNi/USLGi2ja1tzh2kuaajXHUAH2BFHg0y+HkLTwlLIPbRrJylICTsp4uJ7rPH8%20nHcnNp6OOtP5OgqoGZs5BE1NheYmHLKPmWvi9Tqo59DIff/D3+EApoAeIPhrcoQMdDTJTsRtOYh1%20F9YBugQHKDrZaKIh/v4PfhjxIfVJHqDXYd3BOYhivKbzGsoZjEIPz6qD61QVTsMwBx7/AIPnkRXy%20aRKHTHTrEy6sY51ld1eRLM249bojUKO1a9feqg8M9eaDC5kaE0qUhyvFvnLo74LbyzW3PjKMox1l%20jRZgKUilWwODlwmwhp7FLJ/j0MMO7YGry3NMh5kZC4wDerfD1FHfuoXoWZ/xgG6ziUfzKabtBNY7%20gkKaRTrpa179MtmWBiuKcTxz6WxLROVi1I3gQWjGW9WQqiMhT396ZjGdhGOwfkaGD1JIf8CZG8cw%20K8JF1oLTPoRovdOxrwCFTNMQpFNtE3pZcoILESbCTbO8/xidcZM4hD//iw8JCrbB8dmvdLA6b1FD%202M0+P3RoL1izHYbLoWYJQRkAuf4xXDULIM6Y56qjN+pV7U4tj1mi4Huwjsb5nIFtkjqUlFYdV804%20KraxYLJ+aoj9DJ3SDMg/a6MYTZUnRrKYwgZVrbxK+VLj7yUirr9R/95XmBL+RiMAfiYyftYI/13G%20+EkQXqxErrM8l2JfhUJ7CHQNBiUsJLvT5qYCblG2NsamfBq1NgVX+GEPwhw430dUVw1LLRIZOTvp%20QBzOqMzI6S7V9ft2mOUg6enPx9tafNvcQNt1Eg3fB/MYc7AuDxGGqUzSKN6z2QXlfXc8Ll1Xpo9q%20DkSoiM82xXrS9on3JaLoULheHrJAgLUnCz4YxslHpOjRj6jH8WC4/b5TqtvJ1/uIYnx9DZ2GuHRD%20SucjKra45+ZJpF7StzykYH4lC/Dn5FHOYGgzrJAIaJXXf0wRwhE/XtEa7yV/0u40027bXAPii0ux%20+EY8MiPEhm3Y0DBHrlTDraPgrS1c9YChuyuUNZVKpOCMBsTOPI2vmYuKXabWwg+NSm+U29AMWaOa%20LhXv1vVrmaJsRiFk1M3zGx3uJVvpRXQezQXhqNqLl63sfWtMC2/Xf8/ynq7tMHxbmzBOQld7Hcjh%20Jz/9SRS75AGr2+tIeJsBLLK4ditc1z2chodY4fRtKWWm0+DWjsbRUYuPmw57AIx6FWxXe3gJw2e0%201ElGNUqUKsxyE0OpkXJ/xElxva7LNpxqoy9PmQ5MnLKZLGKnGYFY6k6afshqeinSSssTj1/P2J9y%202vKfRRwjTqLHqzwzhdPttusw5WYfjZENyMt+hPrflELxEJiNfLe4X6wbrdcUUiukMwlCDvEcVgiH%20/+rd96sZai1y27u7W9l3Zgs6DwrPPAsLs48myTSDaUvNdNp3UzRfJlC7M4oyuGmD7eJZFE4UAtgB%20e9RIWmaK/P9O4D33lOp9ToMxEDGTaWe/WwsQez5GS/YScJKKd5EIsAdgkmj+7mT1GU0a00Srf/LP%20D8FI2sf+ezcdlAZUGtwF9v0WI8qEKQs01R72k69vO/4gtQ5pjslqLN4SbE1zDwUKcX4iwRMUU6+9%20o4uWXwqhk3MAOwvJObPHykeDodAwj+Xr0SDxrwmkSiRs3PpsFP3E8NbG9CmS8PSn6pWu36v+4/ei%208YJr1Mb7bzHGf6No99VX++q/noTVdQMKNyFMpiZPsvDYmDoINntnXzfbEachEIeTxqKYjZGHWOGC%20gh54wUG1SuNR4PCSVuuhNCIff/xh6c6T50rRZhm44s7dWYzIg2oPkbN4rl06FmdSOUwQI/ZVg+78%20cwXqkJtGw9vwIonMTHn5syMQAlG0h5PDVvAo0xU5warMEZVgFZWU1MLu5NqNMGRELHNtcxS12iga%20Wbgzsmvi9+T16ZGTrrggoYiJCzlosFRqI4TOgU1DBD+vjODsAik0kZudhzthiiyQKjbRYNLJKKiB%20Xidb8x7S2YAOLJ6lyYF7UDtMOOFWXcgSttEgy8c1JRQfFnJptJB6GGQb+IxV6WoHY3rI1p1HDEZN%20g+4mohLWyiGvTv0QN3uEoZSg7wH+/MvPwLAptGAkuvn3Bte5MA2+iGF97WXGzhA56SPCtX2SUhUo%20KDB3GRkSZyS+OY0DPkoRSUdsN9zbiM08nLiXMVuu08//6mfV5599Un33u39YOxoKrlnb5dC2miZZ%20F9kkvJ8djXM4NbMhMdCsO19fJgLWEDuoVPUx26WH6EY8wCBXnY6NJxoa23dzyj2f1gg0cIGiCs5t%20tCWM3EzWwpasRnE88xiDB2iwCDXYTRis+fc+DOps8fd1VlgTaWcjGJpRsgw568MySvjdx82TOThs%20O4p2tFvD6fVwdeLcpBcOj41UvUNj1ST4/bvvf5KMYJQ6wBJrcINBoOpKr69eRvXsRuos3s4g1L0U%209Hie0XPpduAA0SBBo1iug0V9zhZ/1Bh5xGRmn4N6LMqOCsXcQHbzJq3Jdn46lPXxY9qOyWbEinUi%20OudODOgmw3hnafi4dPlmdYl26/sTG/D+oUZi9FUI/N53X0h32O7de6srKLOpD6IB7+4ayrXlk7Pk%203ruC49px81rUBS0Et3J9ai2M4UAtwbiv3cMdZKImTS1tPdGjDuNFqluiXyOqml4WWxjL+5XVSZyZ%20QK2k/MV0/82P8r1nzfTfNMZPf6/s8a8Y9b/DGP9ddvfv+z0h2oybSzRcoudEYN4b+7jZgtsTb2DP%20NLzFbR62HlpPpDiKkZFFFVMPpxSHD0w0J8ZlOtoMRhkuLtCB3EsjtCmiOjmuRhhNNT820yh4TavP%20AvqJxoQK5IRyKGMMJK7wp7iiRtrvtVjt5potklkcS+5HRKRkX7kh/ik2xXVKG9vaguOMUXxMWplG%20AQspUqL4UQ2xXD/ys/AYUwHltcUqS7Rc0sFE5Rj+tAlzMOVIB9fGuxmZthI1tClKxO9OcUjFnpUq%207ABDtFjn2J0l08DcjJ+MXuLfGqGCHelYaAxJ8VP8tqTx4scaQcWCNDRuZjMKDZuSoh5Sf/bzz78I%20Dj9K6u33VRM798LZGBA7v9T+zf1w4Du4D6d+9EAZtPtpg5OioI6vLyxVqDsWsbzO8mcmR/MMNoFt%20nOC8n1T3INH4NOtqx+BbiL8/oN36MF9Xpe3f/4f/GJz3m299MzUCsfCI2BghJWoqPE/3ho5T7C+Y%20INegCI6dhpOOwyEC/t0Hn0UQ/yi0OGGqcYqkCvKb2oX1kjU3Qja9KxlFpD+5B5sHrIzslEIFTmzU%20O37zSnWVCHAezHIHDtbRVZu1w3GBs4d8VjUEJYRma7l4v47DiF3Oby8w3SGe+QMywfk5OijdreyB%20VTjbc1MTOOd54IsJho7uJXodQIN5H4adyBdlQ+/vAZQ0uaX04lfTK/COPZSkb1L/HqIhMQpj4+jR%20A+jCHIixk18/STR/HZxZepjFn4n7UiU3GZnUn59zf00BJemIpvmd0FGlwNnZNcugTZ7tErDPIyZm%20u3/s1rx+/U710WeOOmLOHJezfz91Boasmqmp9CeN7TYSqNJbhW3UH1Ej22LyEHTGM/1nMgLq408/%20p8g+hbNBpIvnNcsz2Q20+XWU/IYo+pbxa+q76DQdXAsEg1qeXHsd8U65/3aKWphuRKQxRk8NcoPK%20+VUjW4zxswbZjKy8hka2mMe/aZyffZXfj63/vib17/dzxS4J/ZbArmQ6zvzUEbndzKU1hzYi+Xy0%20oxZJMGRlplaZ6OyGF4M1xZB3LBPCLqiw/DTEGjd+XsNk95kePvCDKkLuNapZqW5bLLDgF11gDG7d%20KfOY5otEZBhVzWkuyvPQSOk1kbELhZdXND9LFFsGMkvCIgWl8FDYATX+xzUZyTl7z9dSi3cIjMvD%20pRG3CLHTsT88ADdBmgCMctLP78GAo8yrZzYbm2sv6amQhIfeqEg5SAucShEaGQtVLJANTGB414h8%20hCXE+jxEBccs1Davu2DxjpMpiyk0EXiiRpYaTRNJ1/SU9e4sxrs02vg8XFQVyB6BLe8mCnM0jrS1%20biIzsxanMTtt4iKSmxqQeQ7zFrDFIE60mdd1E4jD9hIl5frCPOC1jSxrCEnHalFHsX3XQSGYyxcu%20QFd7PRSrCXDJF86eIxX9qJoAx/4+IjKyD+4/AHrAMBudY7/pZMMo4ZzcW4pElbE1RSPaPafDcZKM%20mtoLHHT5yRe+vAomulj9q3/x36My9jpj6meIIq+ECmex2cJdNIzdwFLYbMHPJGspZGoxh3mZTymZ%20U2QoOo3pWRo33GMZDZ+0IAp9RZOlHOvCC9VB07JNMGIDRKkM0XhDdHwOBbRO6gMD0jV3MnOO59ZH%20gbuvczf3cCPPZQV2wjX48kNje3k9OyaJnoEPzJZs07fu4c6wESL70GumDvBgAq1psOUdiF0fOwEn%20mMxSGGcbB6e62TyZ6ji0NwJcmjGaqsNoZfQQkdrBpyyodYBB4CKZID1AQdYyxN8tgi+Rfdoo5OZx%20BJbUw717O6rn2S+HD44idYnAEHvqHiOhYnSBNOQ7DzNZXB3pEWAQMzi/JgfcmX17KDROsi+cWdgD%20i8M1bm3D2XBunCLiAN4xBs4eO3YqwcYStM97iOLP8lwtKiYz81lbj/k9u9jY++53A6AyALR8PNGX%20KGb3yUd+ovFDXzHGfz/j+f+vn3rqD+qL0I4F65bbL2RY4FczncLRFnoxd8ZONjqWYgA8NLbsxpoX%20vMZoLem8mF8enCTzQrMxatEAFUvJH+F+FoNtGlL6i6ywG+WWpgejTEPg0mnu65r6FMOoZ9Zo6wT0%207AHrjXpzAQZBtdNItxIpK6+isprOQ8OxU24kP2NkJlVsCA6rEyMk1Vs43NZRxABTVDA65z2MPDUK%200nk21JPgjbxeO77c5DIANCgZOAk0MAh2bjp2FY2ARV6zkzQ4YDw/q5bvIkUQJRsFPfQTT/mKhaoT%20g1zDA3FIcTRlXls2nQWl8EfLYsUmG8WKaedxGk2WoakWve4gjej3Z2daqp/+5K/BYh8QMe1PamwT%20i9NTZ6fWysQRHCweoNrEsTpLcHlewXwwdZ6f92YraxNdU9L6HO2ULkUyAoXm5XGPwZwxQlZofj8z%208V555eW0bd+51Vb943/4D2LAhKyEvN799XvVlQsXadpAPxojIYaeRhOpYET3Ghdx4wxFZQ3Eo6+h%20dTIP2+Gf/7P/tvqTf/IP4GJ2VA9m4SjLeTdTsc3eLoq6VhANbbnQOjb2jIUitUKkTjli/Q5G+L4F%20UXVQqBsYgQXhyHM2PSyZWmmzzUmvGwt0oE4DL0Uj6xI2y3z06Wc5E30UwOTjGuGrZnfo2HGw9MPV%20Z59+zNo/oo6CjOn4deDhbt6TtuVliY5kV3YGyc+xLGFtwyMjqyCNGexFJs5cuDxO2/n71VkgA7m8%200s1e/tqLEdi/cPF2zNNzx0cjXWoK0FIX0GSzuIY768kyahDfYIjAzds3gsubRYnfC0GKMaPoibEc%20Sz1iEocnPCSmbjOPzVvSENVVsX5gwVDoQvkDKZS//MWvMgJK2U1bx3UEPk9/10HCly6qTKjM6zHe%2052S6FS9Di1OzpQQzqNCh8RKsv/5oOMSnX3mKJj/5oZiBZ4xunGcJ0p6MSMpTfca6/10BcF3EfXoN%20z777/5fmuRE0ll0VEoERWATXbDQifRNCS2ZXM0OSBxgApYpZ35CbNFa6jsos0DXZ8SaIH2yjkOh9%208Cn4xchqcYweNCLFqARjZTE8lO7yRhW0vK5Gp8ZJQkkp3WDFzFic6EnXmJoNgQsw4rI3oujFxrc6%20q8H1PR5baOJnWgj99cgtNI7YsqpguFN6WzBqy0QTRvea/3QPZuHk7MtKoNkAha/7D+a4RpgCJw6z%20eZ5PqtVO9GBaZkSmcT44dJgiFp2ARMBTUJIUZbeY52u3tsGD3AFDQC9H8c6BqLbNFlK6XqQ87MA0%20TzbPM5uqjqITsNWRc8FHgps8+Z16K2ZxPVTtNA+oSWCxRKd07/4XSUenZ06lY01oxplqmeNn4wPG%20eJGoZJGC5xwRfBPXKsVGqo3dhU6fCO7KA7K+pUH2HjTqFt0uIoF5gMN3jNbzW4x0cmrzG2++Xr37%20y3cTMX/z7W/x3MiobHUGa/zxj39S/RK4xEKcRT7bcr2dedJ+cU1x4BKZK/k4TX1hsPpX//IPq//+%20T/5J+JeOqboLDrrOz3dD1apbAkpbKd93Lc3QVJKzocDhqKbCQPfVNOt2B8f0iPewsKvB06iW519+%20vzDKS7WgPPjCLCphm4GFPFDWTeqVGYX4PK8h++Po4d3ViZOHgidfvX4ZvBehJyIHR1NZqFwlQn68%20TlbDOSh7r5Erlffw2nNWNAgJOnwzZFaJIB38aq3lbEZtqY3CWeJnjxwZz+8WnW61KRC/5740tmnp%20twUfBy0M8OWFL9Eq/ohnwnmgyCie3UcRUx0LqXFmKerC7Gx+mDWP3jiZiTIGXptO1X0fDMhHwn7u%20dvwaRvr2nXtpMBpFLkDdCwMfs0khkAnkSu/BejlN0CJEdO3S9QQ7F85fIVuiw5ZOTjNX7bAOKeBy%20LFAd58ZG/C2GOAv39MdyUb//od0rV/vMdxp/r4uFz37rv/IaxZZ7gX/ru/z9vtiw6/EN5awXBoXZ%20qCIM7rmnsrX+CIFRiUpdZMXEZUyUVtPyakX5qNylfxihuDFK0U8t3PKzwgkxurXB0YAaRcQ31Aal%20cRcubPQDCN0zB83QPVFTuQ6jxRT13AzqFqTjyL1OcS50Fm5EEJk/fb9+SPXDMDgU3nGDyWH1iMmc%20cCOYB1lASlSZKFM9oDLd9s49GApEUv/wH36/+sf/7L+rDkMPc6aZ97tKTqgxvodi1QQbTL7stcvX%20ozNghdt03syitYuquwPLKJY4aaEHnD3j6K3q+xjd07+3l559xk88eRat7LgGfpnnzpcCt2scvW2j%20VpkiUSwtYvBGnE746LXphmd7kxE6C8AqNv7Z+y7Gt77C/XDYlkk323l2HeL03IOQTXndEmWIv7uH%20dHiobIac3rQT2U1+7yPE4X/wwx/EUd66frU6ee6F6nvf+8Pq008+rn777q8wUM+HsqXOQc8//Seh%207f3n//yn1f/7P/1ZRLpkAjjqylmH4TFzIx3su29jyP/oj7+PVOgLKOotVXfgMN+hMcJxVR0W/2r6%20TzBEaWu2TCPOr3axFXzXXdx+G92IWXQhbgMNTLG+Rso+UZhVZQAld2acaqTyN8tBGgY3YIGDyrFu%20nEjb46XUlVdoUR+aovQiz3RzeQ5j8xnQHlABHZ3i4/MrzI8DL26BJmYRTTgsStkaoGxmF1YDXWRD%20LeT1EHEfOID2NLRQG03ssNuFHsgtlPnkXA8Difhr4rgWxc3snFXo2HnX0eK7OtL37jDMgDFJ4pPP%20gQGr4Kbaoo5CuE2jayBlvcjCsi9qoOJ5lpZmoJIp7dy//OwEMTzzeTBxYQp1j43YxeWvUeRzn8gC%20EuK0g9AmKaeW/Of/+U8DPfk7duAtU2AZR5VOjrTPSMiw2IavEsz+Lhv5rH181jb//2I3/37W1WX7%20X36X/Iiwae0YfIaepxASXOR6cENCNR0yP9gIEJuLYS1vFCwj1e0CNzwBz30DItR2x9r487VhCewQ%20moXr+Wz67cPVepTvFTy0Pugx/KWzpvFRIAqMG3+qWREvrwh9fVw2nZ3mtUk1ckJ0dKw5hBjaHgo9%20FpSchHyXlN3o1AjKYsXkg6lcQztYnVhNiXgK1igPeJoD3AJB/Yd/+J3qX/0P/7LaTdSnElpGCHH5%20pmbdFMbUGgiHmY1vhGFfv/KAc3XHW+hg/OxaBHgQlEkKWpyYymiZuZXFKbhv6VMXdimOMJGARrDx%20zFM1Lt5Ufnb5enlajT+FiWaNLFPhpupuQZNrMuWcQiDcLh+vvYXITFnDaRguN68Bq2Cdd4EFOnWh%20RSdqehQxd5yPERM3nk3CNVnoipPkfbk9Dl93imm//MVfV9/AePo8v/zd+9Xhk6eqb7z1VnXz6hWK%20ZderFaL1PYiZH3vxXLUpswRsUScwx9d1+Lso7hw9djQDOOWq7qfQpfE2ctvAAU6SCl9H5OgBGKwQ%20VDtQidN5w5pQnY201+xJqCkji3AS40Rk9PlU3f1MzOb783J3cbKPLdbxu2Yw0WfGwMlDThdejC5r%20lUpn3SmquY4HLWeiiJ2XdfNDESwjnCWammbBVreQE9iWcQK8sm//WHXu7Mks0tDwher8JaJ6dXxZ%20o3l4tfgM9hHMI0SpCpWxQHU2SsjccWJ0Ty/0P4vqrEuZ2M6IMfcqNNNuJ+9Y04CRoZraqjKaPF8d%20XoRxeD4qIVq4HsAxP3fyWLI8ISIZRzJvbIRqwIHuz9I95zR2AykduxQ/Gzv4TEG5cGJto/cZqgpo%20p6JzBYU2LiN+ZfEsbAp+toWW8150vS3Q+55y9pug8ylkZPPL1evQ9vi3jVpRrKmLW43ayhObUP/l%20CX5cB4h1f085P42A8aklKWfkyb//7r/8fYzr3/OlvvJjdShVFC65S5X07IY147SIva3sbGN/5ayX%20yeJkIjVE4MbMBjGnZpPURrohrFwMb6Eh5TcSOjSQnjqDeOI4ioEpRqYY3/xsbWyKUSkQhX+mK4vN%20lyhd+MMquDoDEZMvhs73MyVz4yrW4u+uY+jEdoUUpplDZz99D+2/S3jntGAm+tZRWTDhsZh7JyJy%20dDsUI4zUWxiRf/SP/1EoOTPQnyymKPOYxgoiCgtTpl05OGzyfmhIUuf6aK5og+P5EK6okyOjhcH1%20aoxt+dT470NjQ9dw3+kHefhfXdoGbFG+V775bKdPMci1Y6uNQcZA1RFscNgagzYaVsLQNll/z5Tf%20xorZWZwbcMSatQAUmoaH2hGGgfurR7OryefB62WcE9G+LcRFeavgqq5HDDTXp8CLFf2rFy5Fy+Ct%20b7+TSvs4mcMwCl/PM8naDsgZ+KxLdFFuAi/Y5v7O228hcH4atgHrwvNtpvhpgVh94iFwaKlhyxi2%20CQpI8qkvn78I7ngxIlKqljVFp7TQqkqhubAyNFKm1c6PM9pT1H8D2GmJ0RKPhbZYA+E1oSPb8jMG%20PpQdeL1yZoMZeoMFMxb+EkLLDslzrxk/JVopz0WnjkS6hTBx431gs/PTE9Ve4ADnEmoYnRV39uzz%202RvTsyvVG997Dax1svroo/PsSVv6y9nw/WLoAyGqwbyFQpupPCL80NtuXruejlY7YO0HkNmkZECZ%20VL0T+t9c6b70XHkkeVlpcnYQZmI7G8Xva1yFcqTfHUH9z3FqTgg369MYe+Sl86UmJGzI85Dp4/2m%20SFo39KihPQRUZwHfQu31qwy2dXgpBWTPaPawWS8/bwNTVwcwIQ4j+i1kK0t8rqhmB0/bsWbWItxn%20xZI0csc63n2S5j89NE+tSvmajilfe3Kwft8MP/vv+vXrlyt1qNp+1V97UibMv0vhvfHxJGh6xtRr%20dM2wyvao78LtZRZmQOOzzP3xM7yUbeqyvdZxRgYABr5PrWgC1K9GqOXNC1zQMA4NY+oFxoC6KWss%20qXG5jQtvFONSxEsa7OYt0XHjM1iZB6U+XPndVHtLY4BtoErqyWjIpkj0XeJkuwOL9jDpLUZYD2vj%20yXUiMnv6LRY9IopYIEXtYJOI8XnjOzLbHS+lrkGz1LrNFLnefvudjCyygcH3mAfquEJUtkCa9wJU%20MRs1nHzsVBIlQf23Dsb0WFx2FbjjHvSeHZnlRiGRCN8xTVto545Q7R5znPqHn9BxJH5Ytk8pNhiZ%20PVnrJwsfZ8fzCX+2xpqeNeJl8z35v/oFii+OiDrprPsi01SkMinPKK+7SHdE31lGQC/PbouD4ucm%20EZkMC2UPs/puKJbEtymoVtkT/iXt0xjl23BMf4lh+TrP7+SpU8GIJxmlNUgK60BRheYdWuo96xic%20MLJTrWWuL4ViWQK+MA7UyFYhqYdoNt+BgnaH6Fu51i4wca8jXFT3nQwK3tN/b/B7izhN6XTKanYC%20f6xiCOZxKjTIFfFyt14wSS/f/VdSQjsi8+0USp/en38rIgAlk6nv+kmWkkJMffB6KGYdooj5nXe+%20RXPIDozefQwcHGYylBEnYBAl3gr391718osnq963Bxh7tK/64MNPU+BT29cmpl6CCR2pe/PIYQeJ%200kbOEAD1LEzxbYUvmLb3zZ7ltZWLHUYlzuvctYv34n7M6Ip2Bdiu02QCcyt/itNrHYR/zFg0rtMJ%20OCrZbSO16VlwcKgYeFqO1YHmY5jMpaE3rtSBry2rx/M7CcwwTuYiVu+Ukj2wKaxfiBk/hBkzMSEl%20z+5Xhg3Q+bjEYiyhyWJtXCkAHfIWTtNMN3u2fsrlRDwFLBp25VkAo+7ze3Joyu82wr5GRPzEitff%20/NvjZJXsGh9fnTZdvtpAsp99/cY7JMDjG4EgpO65N0MqKM1pRvtlVxWox+xThypqu7qKmuQWZ8iG%20HtGAQHDF0fP3xi09ubb69r7qGVKJNhVKhOulFjjjqaGovVUKel5KEVYvYs41C0IWBkbMi9bAuTE0%20OI4hn52BPsSB1esvr0AN42dM1+RM2jggdalYCKdniHcpagKexeZ7KBUno9Vp96Wa7SRgq5ZtraUl%20s9k01yJFPKERtoexiYLIkeoYHVMa1kXEsB1jr7j3fYyKvD9ZGQdQaJMzW+bWKdkptuZG8rXlR2tP%20GOEEFKK90m+0wedVs1/62Qnah48zJeKjjz9PT78G3Y865vob0XK+9wSyKKmYG0eGha+dhc5DbxT3%20fCYND1/IQEGm6lQ83ttAj6+ZYFgMEvPeYlLFMNitBmmZDgZTfyvyDWfaiL7tdCxiT+U1dBJytQcw%206DNEXb/48Y+qE4yDPwws4bVNQ29TC6EbyMEhi3oAFcLUujBkkPfsmhsNCzXM6jiluNFddw0dCHUp%20OnXCDkuN4/Jge/+1S9CW+h8XZNSmQ3dWILyf1AaW5LS570oLYZ5H2Cl1ZtFwKtnJHsg4tsY+Lu9T%20XFuJWUqUXCeeIiWJnKVQknrSft2HUd6/Zxci+fuqRw/Gue7S4Ss++PJLp6P1MEPk/Bz77Og/+YfA%20GGeqX/7qN4nm5eIOkGEpG2vXpEVUz5jNNIdhKogz6phWOA8rHGKbbsRn3fsDQE2+p2OVbFCZZq9N%20gK+bnbkvhSK6aEbqAr8VnxfTNaNwEXVgZp0aXGmafq/BLtIwud9lZtgKbeTnOt2lEGsL/H3ucY7C%20ocVgA6o7iBulEE6mOcW8yfsPmGJDBlajCvGFNny4HCbhLW1Gzz5TON8+98CHxQwni673f0wl/3jW%20OtUJdvmZ2lwVq1MXXoPBlgj4qQl+1hiX8ML9V2xTOU/uzUJxbHyUwK8Br+Z8pTHFeyhSDp5RO1iH%20Cbh8djNIogauDGxQB5dkQGYzwksDFlGhk+40mFAnpFY6DDxhcCBc+F/HTZ7imE8ukQsoHNiSymh3%20G/BFAg5eUKxXKcNF0kVpP75+46Y0iLIs8pxtcebTtuq798CSrt6qBklth0izGq+vMXZjGbXZ6bf5%20WP1gxE3oPOrq6o93TeslG3gfM+R8z2lSQ7nBOzKvrxQWM6qIn1UeMbzFREu0eFNo8nsWHqRGzSB+%20osqVKmoPaUn9HTKKthefgDVQUsHC/LB4o5ob1isVZ/FqI2O5xi6SralA29X4g+lER7vBRnspziit%20Ke7cUHMrB75RKaqdmddbezizAPkoTylwBULyEHz1o2y+GJ5G5C2RXmPkBsrzxkkQGVnk/PiTeSLV%20vurMc0dpkZZaVQqlJlXrtqITgfmC8fK1UcphydWW97LopgOaRyzmo1//unoI33gEXmmbotk42WDR%20DednpM8rrYFDFs3jMvnEhoS7/J6VeVNZ8bQ+Irnsj7qiaPHjWXrjtjKofHbAYOnrEWJhIxO9raWz%20i1QZA7ShNgjTlWM4SzcLz8EJIeW4eSelSaQ4Ntvrv3oOGk+zmGM/yhkzYi5k/VkMz69+9R6NSPOZ%20MdjtHmBwwjAFvKFhMHmwYY1e+NfALxP3bzPJ5RAsjL04su+wz8icVInjWWmMbaDyXeX4ir+q2Gbx%20TCaLUzbMFBdg8Fhkc8JKr23Y3JcMij5U/g4TLds8I8/dsyJVc5ki4DL48qTypbz2CA1CcudP0k0Z%207itvaICgMRFekeFiGq1zXMdBO4xWOpsB0TF0aBzWaoOJzSWu3QqsiDtkpZeuoFx4u4j++7ggkiTD%20KOX7EmUatPT2GsBR9ASOMdgxgzM2Tt3JfeEPxkAKmZY/G/hrErPYnq9GwiUSrU+DQUv9AyXbds3q%2078UxPzXGCSz4PyEjBcoy5eiZbCgvWlLQUpfBZqSwaaZdsyA0Ad38bjfOc6+cb7NLi7XKqXJdUkXV%20hFbjwzmZdh8v8OwWsSlq7GwmVdU3SYNNL0bjTn7vfHsZPLiGIS0RmZFRMcZ6fr+n8SrFKgMMtH87%206L4aVEaToaZgh7rDPFQ+nfNVusw0jnSZUZ1dWqPijZfcptNrdp4x77Rryuiwi8xooXcAtTSaSFbW%204MYqUM5qSTKXdmYErHndS8vsEOT0uxt3q9md88Hy9GTr8juJoMLoNBWsaTQumA/LaFevbvQuu0L8%20rBQTizj3rTs3q06MqFxK+/23jGwZ36IhlgO6RJFIT6l3j3nnd4VVRjG+KwDHdxlpc5mR6LsZ3XT6%201HGmVF/PNF+V5KTsJWMopqdwqd28Rgtg2yGicG8RKo+GBFKZOBsX3GdXtnihEpaXaBhiTY33W6Jq%2011s+uFGJB2KZFBLoir/b3cUkCDSJu+BjCz3IF3WsvI0JMcI1e6OckCJsYv6bGMIoJB2ZRFY8N1XG%20HpJZ6NwsxO1GeMZ2eDeN46CMtGSYlGh4NrQ2lf50hL627eBlOK7nkufswUt3Eu8FXW0HhaBmx6qL%20w/GnI7c62xHqMeXbXgh/eovX2CQbajEt2YFetLBCHk99qDWm9TNpZGxPIuE8/iSeT85wWZInJ72c%20TesQ7J1V3uPLL25UNzFEg0hrvvTCiQz+NKqdnVqofvTeB1DLPqTghY4Lkf4CMq1LCzAtMHwWRluZ%20NbnFBPVFJpkrN3DqxJFEy5evWgB2YOlsdZNo104494GFTh2pmi8WZzW4ZoPJ2MThLVRiLGRDzPBs%20b9N184AMz2kuGbTAHtpNo8Zxzs1pSMZOIx8nqr166Wo43nYIWkMRrrBwOMb3nztxIk5BaE474eRo%20h6IeOQhThkDJ95HtsXMn7dtbt6Ii55qtgdlznLKHTT5cDn1rMhnPWRnCkwAhmRffM2C2Wcjf0+jF%20hqbAWeyOjsO1qxvWSrDgGfE96lXSBoUy5zb1M0+uBBUNaFTYVIdmhugZ78IZuu/ydvks71nYXaWW%205YvovKOCh8cosIbBDdPTKZSq3Nfu3sMIG1DY6GOQZmAqCyYsMb62vAgFEyepE9vCaFucLcFVOcOs%205d8GU5TzXaLdUklO4O7N1tzgOaGA4CQKoJdec4sMMxjMPRR12tk8d0lZbYTwkJdCU+Ez+kL+F2pO%20Xm+rOgBv0wfuYvpwpLUFY1cikZsRK/TnByiOiGm5yYQ4BxE+bydKklBtmqNuRLAYcalNBEkyKqO4%207CKM7ow+xUfqKKku1KiZMEMEYUeYPfy2f5u+7dm9J8Z4gnuR02tRqctoQR1g5/Wp1cx/BW99iveq%201dHrhGAKapO0yh48eDjMj/tQfpaIPuy8su9f45fnmidevHxUz9ygLFbanXkfe9rvoa3wAFW7yHFK%20l8GBmbIrNq5h93p9nvGyRok6T7dkKFBycotpcbqLVCVbWT10ozzT9WUVtpR6dAAsLAzTNiPHGluL%20/a/XsETurBsbs5lCmbojrWxaMUe1EXx2tm+76XVUNia4nhpjT4vfs1DnJhdisLNOY+FJK5N8jXA0%20xso38jWMcaxq3a0mn1jWjKmZ00s6u7lOXmeewEDtDPHMwLCJzMuzTeSbB+K/GlBPOa3+bDkOJZRq%20BFPZp7UtbgRZMQq+htcCNr2TItXRI8eqH/7gH/Bcm6D4fVBdpNnl4vlbyLoO0hp8KiL87v0ZHJbP%20REjs44++CBZ7HFbJXtgkO8JyIAiwyYJ96Eo5FccGDM+QXOJV4LABjKDP6CIFTh3cKQxr3DDP4h4w%20hTrXFhX3EaDIGmnBkJo1+rMGMJcvXyaIWIoc6heffwlr5foTOFHIRejPM2STlPrKkzTOWAzPbEKu%208RAzC1XuU1fFQEZW0d79UN3oqzaI0vFOIxg/AaThPXtt8wgRGQSYAagH3t5alP5aYZVY0DVSHhnp%20TzefkOFDZw3yXjoGRaNc78BObB+HYahYqEKfjtR6g5OGAmnx1CJIRJaiDEOruBz2SWxczWj/7fM3%20m7At3Z9TfiB7oM7WXH0j20yH1ogbpRuAJDMue6Wc1BI4qYaYDmP+7KTj0mi/EXBGf5mAcnGBzC08%20bBQIbXu2gEuQGBohlEN7JLKXGyOpy1t89eNJNbE4h2xuf96WY4dM6skGScnEzlJ5tWjkJAAiKyfe%20miLOYMC6MUIWNDJyyAiGP/U4QhCmQM676yPCUi2utAkXJS9TMwtBMVAZnz5EGyYFAx5s2mszvZgC%20GgUFF8Obd3ii3/dMrzSZNkgwJ9LCaBiR+9HchAi+wur2xtfdWz4oPZQp4QNwMeEFHUDkCrlXv+8E%20aqMcGR3b0tL07LZY82nUHI4192UKt4voeLCvqFk5huowUqRir62tl9J95qKasmxuEJl7gyxOKY6K%20GBD1AQEcPnIgaY5jo7qprq8sUj2XrcfNaQjszGghEtyHnq3P8dLFm3ydwiaZfifqWA44taBzk2Lb%20Cht2aZmKPca/1ekhiurDvnjIoRH/VdZ5FYem519yTqAZAp9iYGXoaNm0ElJCf5TV4aaM1SuO1p/T%20uGb8etg4NkwQAWJkbVBQJlL4QufgnzItUuRN5FOmc8TBh4qmvjGHwnbnFQuQhY/r8Nst3m/Nn3Xn%20cxDkLbfzPjMYj2mCBNX13OgWxoQi5OuWCLg+SL5f6Ic+dx0b7/WMQW5QziKk5M+691NJrFPkRGhK%20t+6gKHcIQ/yHzJM7Xf3m179ggvIN9lZf9Y/+2z9gHdnrXMdtON/36DZURlD6l8Xgq9fupT16LyO8%20Ho6D4wLVPAdH2/tQ5Elj6HPVKa7zfhrDDZslMFIKznfS9SfcowrdDSbOWNRbZH/Ibbd5ZzcBUT8w%20nO/ruCyV6z5A+vSLL88DLdwh6j2ZLG4XzAvPr3Ch2ipOnrHxa46uVbtxl4SADB5YC6ebv/766zlj%2019lTFzHss1yrZ81RTLbmq9io1Gz2uHEv+0ljLi4rFVMBKCGQFLztSOTrq+Dvoa1mgvY2ImMjcUxq%20zcwpr6uMpxkhZ/jAgT3sa+RQwbW1NdfINqX3uW91FjqdXmxJDLFGvHauCV5iPBWsMsMyeLOVXsmH%20Ep3HzrAZNbCwImtYqw7kpHkqblTbv4alNCZwH27wy5vh/xcGmIwrA9i8fuRkaUPnmjraepEpUMHP%20DBv9E/epV6mR3uCgJyZw09bR4pMgob6RguGUw7dGK6uGaBhRExe4uy4CSVJfxesZXc0ukf4CVYyg%20kbCKXqqCynrFdX5XA6fxGor0HswE7sYWSSEMGyaIaTmgpD1sKqNV8avGaKKMW+c6VD8ztTJSU0jF%20LkGjQ1MOJ097nW6ex2DMiqSonNXiWHiNh+kQC3aY4kcX0eui8+1YCSlbiqQomPJffvQX0WG2QOL3%20v2DCsY4iykq8pxG6RcbM5DKnZAGN+iJqT3Rm46HYkWmIBR0P/VGMsQZA/HCDCEdHMgwE44ei4/JR%20g0VxkV7LHvBXtRDOvnCaZ7fI4VyAzH+dBoDbgRmSoRlEUrDau3skRcIlsNIb15kgDGjX1LFevfD8%20UZzAoepX7/JsOHgqyX3w0ZfZuEcP7Cbqp8pOJHkfVS8jft9bw7nG5rejpB1DoKxjL4XM0kXGvdkW%207s8mYnBfFIhK+lOBosyUWEN+L5ViI2Lbt/kZ7jLGz/ewCKihTyppROx/JZzNpzMUdcy2qK/A4XXO%20nOmrB9kDvMnBZCelE62fZodt6HJTRHyPwD5nMSByjmMMApHVjU2Jagr/O2/j97L5azOdQk0JPPxI%20LaiujJfRQgVrNue252iwX/pWJwbhJte5krrA97/3A4wb2Pz8NM7xc/YR3GqexQbXL/VyaplBAdzH%202VPwrKH2OU3nAbh5AgibhFQdtCEDRsQckNYsHZXyeX2mjgm7wwPT0Bym+KyOxGdMGPkF06Nv3jqU%20wqci/ufRESnVeSd8bFS9230FN2dtLK6aOWnMRpjVaOu+8FeHGSVt/p6NZBNi9fzNAEWesbt499ie%20QCFXKLSqJ+KH8rHzQiE893v3JwhEGE0mP5/zZpi4KeeZYMuC/SRRbRtjqHz2ZkJNZMy9QGTuxwkK%20uNMObeV7A8BbFiiVmV1zGhDRpfdsM5GQTtTgzLg5BS+eOZogSOqeHYANaQEd14oRqfxoO94MihI3%20EEgJK0bHxIENhVRQaJwEH2bl4sd5Bg4uKAyiFJDDmuC2YlscrMaHkF7QhbKHHoPBmCVvAKuWJg/3%20lI6gTJrRAU4D5y0pL8u50hDvsFWa/Q4bq+gIFyytpHDZiDzI4Mn1PtWzJQ3mEHWjS2rzQyeGS6xP%20Csv03HQekj8/hcCKUpcdRHN79jkJhDZLokqN1yDFNy/iKNVlN4U6B6qORWVK/QjxVF6kMf04VWAe%20ZPil6mGo68rP6/WDjgYcolkkURPRH+mcuJwH2wjb1G6LarL7KVwK0wor0oDqBlYbRMLBingG8kNP%20YZCnqFofPrCvev708xn4KeHdhgU9q5GxQidG7EayXrNRjO8/x6YW1zMt6qSLaj9MDA+cVCeNj1Sz%20QbjLu2gakRdrJN/SQvsoYtuP+V3F0OP0FGziZ+U7j/Gz8/NN1ZVH4xEGOnvqEFELBR03qUpuOEHF%204/fvGWFjMt0XTrP3tw/B8XZEZ5ys/NyRQ0TnG9Uw04AP7h1NAcboYTftrOK298AWxaSNkEyL3dg7%20uTbHVxlV2ozQUHhzMyly4zoYJac/Im3GbtZSFFLbIoVKo13/Xu+rwG9+371lx6KpZSCX0mLvS+Tl%20TO8wXAtEVxbi1khxHR6p8VzNdOjw0jJrbhkndpvoaALDdQ94ZI7nsSYF7kmp0ddsWNhSTmpgi4FE%20xIB9b7+TukjZ8ImGc0+Jb+JEIn0Yo1y6H10rs0MnhZsRvPnmmzi1ZjS9L2CMZ1kvhJLY6wYhjVE7%20s3ZFcu2yIGTnKFUbVTNcyzgRq1BPzgfwxYH9e4iCiZ6JOCfoKBSa6Wc/WmxTR9rLWyPi2gfF0r1o%20DSVFtfEHyeSE5eyGc736iI4PET0bRMwAA0jh9C4fwq1fwInL6ujuxOFhFIQqxECbkYUtjrbwu22q%20ugdcpxGT1aGB1UAtqsyHA7QIuTKDdjmGuKlfCLMYcaGHdZt/bJIhSPEjQx6gAc7NlKKYGeIOmDM6%203JUlIlwgnwF6BlpJ6XuJxK2deO5o2UHWtJPoHnuDtKhZgOd/GyW8dYy23ZjCZ04n0YHHCKfOVbrd%20lLjNZHC/5iJyX+qYR4dFBTlHqAoT6nhrDrHPQ5mGds5HgkSbZQiCQjTgU9hO6QcDTTFxD4aZngW7%20xl4SsNkUqmCvdyptClqg/O8C62CDjPK7zUZ0DSK96UjpaikKZqVQVA5IKFI8NItX3VRZ3XymH+KO%20Hpp5eLnxJNzs+P078WZ2Da1TkJum8mwL5BBDRkfhoTqUUo/6EMOhR/WQWmX39Sxk+afGrREJm45o%206J0RxwjeeFxx6KKrwY1wk+r/2rCQ6bR86tE1sAoZldZkPKndRPhTN5cptTjPikNGedh62geJbnqY%20TfZSBmJaZbZyvbK0kwkkEyh3DSRFm4L14XOy3Vr+pb32RmwO1gxOiYUS23Yop/i116AhfwScog9t%20J1JqBftrPno4DJApGCArQqIcdg2pxUJTmnEq1Re++JzX6g6kcgxJydFMXyDGlMjPM9GQDDtBhPc8%20fnQfAuJTMf67wJp1Eouzk9WekQGq+URXZApnT5/IobVd2gh9PzidlV0jeZ3XDMZZJbAOsxAxNid8%20ONyUwyYsY1OHAyV7mxUVUmy87I1sOg2XRVD3UKooHAr6kDOGva50h5+hUK+WnJ830tSQ6EDFjKP/%20zGG3CcX6wyrDbXdifFvp7Fqx6m+tgNFWrUTDHRgMRd4vASldv/+Q2ZzWLYSQWOPGlXkAdXJ1uJvd%20rYFp2Oea/F88gXoR9b3kgOtTrAU06hw5u6wNspMHx6pvfv012rjfwlCUYbpmaXY6XmPu3xr7ysxL%203rvOPEMMwP674BWXfceeZv+I3Zri21GXYQIOfWXvOgHFAtFhoKYXzp0L62Scrxk8TYOTXrtyNVTE%20bgp6igAV6inQF/vJIKWIZXVmIMGv3oXtQoR9EHGho4j33G27C5/boRAPYjycE2gjiNhlJpNzXZk1%20yVqXmXPWOIpxTUSrWiLXaDF2m32/CdzVbraiUbWAtZP92Vw6US0KTodloNg8660TTYGYaBCb4B4W%20vjJQ8kz39NhhazcuZ5YM2/cyA1hdnEEo6XwCme9//4+AK4fRZGa+ohGxgRjUv6lpIBCeSQvTVCLJ%20y35VCCscczsw7TTkaxrNCi0ah/0K3zbThduOzKkRcOhunj8cjbi0QZF9A8PAsXtxrjYZPVTEf43B%20EDZNaYxVn8SxCIdmKIXvafBXByOBQRKVl1mE/o5B3fJjIR5pkkbnXIeCPDG4XEWYEh6qQBJGDUXP%20IWkLX+sk0pWmMYh4iT3u166xoHCEXYAOChnCDW4Cw/x5HqQG0DTBiqKcRmdopTDHlcktVlpQMDuY%20Sjxw6bozdfOjER0/xZpLt0vhHD8J2bPgGnCj4aVmwn9HwuCdpfdoyH2g8lYHcSKlicBJrUXK0ehS%20x5KiIJGoo4B8Ew2S3E0PhcbCyOYo3UubpCEK7rtqSgp6qDxowXG5LruKehvqbnhL0z6xbn9eBoYb%20exyYxXRomchIZsGaQyWFi1xE1sCRVsePHyEaAru+cZVixLFgWWroKuMpJLOLQz5CyraHxhU1jmcx%20ur1E46+9coZuOHQ6OJS36EpcnHtEZDVGeohxltjPpt2Jg2yGwbK8OA18sYPouQsDvYkhmeKe7BaU%20MYHaHfBIaysQEsa3TGHhoPKcbeaQkuU+MZLx3lzXZjvFjBxTBXfzlXVypVIGlp3hd4KRF4xf56lB%209rBmpJbZCnvADkiNjXQ457Pt3NHGoVirJnBcc4jst5BW9w0C82Ck4yCc4M16Oo247OGSIhY+cWFR%20JNV8UpHL6SiRxrMfOg39iFF7InmLgc6Uc5SUmUtT9fU3X6r+5T/7p9UZ5uXNMHrKSNiMwinK1zEQ%20MoL6ycZGnAdJhtgMtjw2vCvpvjMN7f7TcKla1g5urqKeTArv2/Rc7QdrImLNk6TvNpc4G8+JKXfR%20dX6EFoWYutNL0hbOBFQnfhCyZU3cp2fPniVAQSf5vV9DPbsKs4fmk/kXq5cYgvrK115h7NN+5Eov%20RCP83JlzgQmXMaoOZdDY6Jg1xk5hj3MEAvIcGg1rNEsmyz7SiApVuchCU+pU8L1ZW7R5loGaXNdk%20pcADOCSZME0Wi20M4lO1t4JrO6yYVmqOgRj53MwEQld0I2JXFJoagEW1tDBDIHGNzBqZ0dGh7D+1%20aJwBuMmensL5WK+waciMTfaHwiQJ0oi8ZTwICxR+cTZm9koHU7Wdgu659P07yEhs+dYZj/Ps3FV9%20AwzkJVrf2iJ7tGa2WYrk1q3C65clw9uWM1IydK9PWC7aH/VYLdvZfR6j3JMdkT5n0YRmPamYi56w%20MB7EpGhXxah2En0U3rA4XTlDG6RFTpUQy43giDQvvHUnF68knxGhm9903TfRGI1hXKTSGEE7U01e%20qR5WSUE/4zW5IW9mEW0Cu6vEiX2ovkacBf85YqgxGcKLEY+UNeG4HzuNEilrDFlUCwlGeUIkTpc2%20bcukCFkf/G6ZPyUcIo1qG/rZSHUQov0U0c19oJMFvrYX/qhRsxG/xO1VxzsBYRQ82mKlXt2UrTBS%209L5CyPJDnRWoToCGcYzDpXnTKbgxFd238eIyWOPVG87wMOPgQEntUXkM47xOOqnAj6mfk5Kd9qAh%207yQs63GGHH+30PNYcaJI0Oj5LaQwiBJ8+SHQwzq0KYe77sTQu/HSbUn11sGT1jdsvPC9vF4nPeyl%20eUGPbbXffeHIrG0MS8ZKiYmzFm4qxX2WWSO1e91wGQVF9C8v3BE8FrsSBSU1LCp+jbpDWcny/bTf%208sxSrAuGZ0ShwccY2xUo/5asYxJBcqecFPYKEZg0K2biTfH81dBW8jWNKUbaMbreK2mjjiHOojRv%20lKS58Cb8iNmOYyj/EsLQIbp/ZYAMYkyFDeY4eBbreunye+Hs6epf/8t/UZ1AUOoTJt385te/hOVy%20NzCQnaMqcu2iVuKYKjFcM8Yl5CKHGWOkot1DOuocDlpGU2nguK577G3Ohs9lkT3eOmWxWXrmNms/%20Xl1ift3pM6erbzBhxUKbmZbXdAfc9hpNSuqPZJBwO4ca5yCrQSN3AezYZ2gAZQRqUU4JTItY7nUd%206j0U2KTLSXMbp+3/CDUGA45JjENjlL3Yk/CG+sidqzAZuC8dh6/d7oQgp7HzZ1F5E3KQYleyW412%20iQxL6r5TiVYetWdGPv8BJFmdZiM7Q66/8za3WXPFjbqBQQdWe/O7Y3Qanjh2KNCdz08xfo3bJvbo%20MRnYENnfyZ3PpZ7k3k1wKu69jV47e2BxEUgRh9LGvfexT6XO+hG1vDgKKaqMzwLftvj44IGZyN3I%20KHjmLQgvYZvMdGWjmF1rB1Inkc1kNk5gaTTdygDZdNuRBTSRxTkXU3sn08QsRniwl4xIFo6Tz6eh%20AN9jYEGzWgY+rBo2i9mzcj4yIjuAApQjsj04/Iypo9FVti6bXy85QHTSjQEw+tWAemA9ZBpZH7Cv%207aL5pwTyZR7UQ7y9RluDL3DthTZ3lj7tERZoGTFs0/8EMvWBFq/JmWnkmJK6iFJSIyfCyUawcYGN%20INzidaqXoJG4S0omuK+3bh6wg4+Hp3HJ6Hcq81aMuUb1JhSsOXzgQPC5FJa4vvtUrO/euZXUUOhD%20uMOIRENvtORrlGcIBmy7MH837VTQ3uemyHvBseFI4/m7VVbjvRcU+gF7aodzOsxmGh7dneehV72B%20IpqtrkIW0+o8OOGDW+3tRtWLw3AJfYg7GalzJxQd+52t0CaiwOHJOuhDXN+o+/ZNdGrB2U2HZTdE%20O4IN5brKt7bA6vDZw0yOmOohGwA+so9+DoqSBYktDLK4mQLjMjCW+V4pSoFbK9+IEVXNz6JJF/oH%20GVIZFoXNQaWol0hYVossGjE57sWxWCkIs6zFGG+G/tfBvlCMfX4ZnNQKOVHmEjRFMw9bfR83w+aB%20o7uE/q/Qy6YeMHlhyeMaAlYekKSk9Z4pFLeCy5dsr0ByiaI1FjVk4lePkZl873vfzQix6+gCi7E6%207fp5+OKybS58+Un1BRDSfXDeSRgCvZyFc2gQ9xCh2qYvtXENA7aF87MQfff+XQyGI5l6MYBzFbXQ%20ahfOfpShsu4/jZZRpGO91N9WEMsoUW6rWsZ2Sip49ZAOU/eqLee2IitPepPuuLtE3Onmwngoo3qP%20oqzQnedQWFAZzdNM8hbD/vL8+eq3779PAZcBo2S5CghpfK9cuYjxv5mswAJ2WE88KAt7GuyePgp4%207HF5zTpYMelVai7qjBiZGkxtmqUK24mfkn7LzPDrmWyj4BZ714GpwjXaC7FgHdAFhiEY4GnkjVAt%201A0Bt7lvJzC8Tj6xuUoet5mZAZvQmhrMt7h3k5wjx09Uz516Lk7He9/kOoRgZtnvTes7qkNH91eH%2098FQ4vXN2mW1aHucS+d1q89hIOqA2aqZmhR7NdNT7KSDnbRCT8T0DJRNfmeMjNRz7rX0dpuhUDty%201Bm/09vRw3kaTUbpnMIEjuwxDXVqbQSuvo+Q0O3b11M3896ZTQghnb/MzgLel4EXeO0NvqYilAWp%20oTxMoxcjWz2B89uigoVH2M2GslhVeHSlA02PqPHspTPIwoMtxlNEN8coSvj6GjI9f6HEuckoisWL%20Ps50CItdF8GHrPKWZoi6y4bfbWCM+puA7jRhpNi4UWAH0/yZlelgwC+8/FIe9ATGdIFOKT2OY+z1%20ThU+xbpSE5E9MT66uTwQDKiRvDO9esFh5UA+QFvA9ugFIAJTHjegz0EBFvFmDeQmRmmJ52WRScy5%20B6NnoUVWROhq8nFJA+0KzO+zOSbp8FuhBTnVQ4zGOkZui+dXGh/0sjZrCBjA4MCwtcIwWQU2sOX1%20Fk7gPtHYGM0kDoGdYn6OlDwFyr3HjJtCg2JmcyrFTgnu6uoarawL27D5jdL9t8Z+x7bPaJzPu1kP%20I50ejOoKTlYDbKXbQaKOdrIhZR1RHPmfZRQ8Trvm3Op4VMuTJWMEp8WLaL6iPKyVG7fsHyJO9tME%20kbfYt/cXZTMpgVu7mMX2fA6tNDXT8j4aeg4bQdB04IRhh3u2UyiTuVPU8IyASrVcoy+lLeO5NLrP%20gsUxvf5IrHaNdGtwCn4dveQatrDQ+vILz/N+COrDo1Xd7/q1a/CIf1ed/7xALM6Vcyx9B3zZwxz0%20t955MwIxC7Yb47AWSJspgzIpupnhnwQEGI8Xzp2tzpw5FScpXmyhbB7nqbSoe9AJ2JswSJqZPDrN%201z0nL7/4cvXGq6+Rnt+ofvKznyXrOkjQ8NJrr1SvvvFqdYACrawKMdWd61zPEtlRPdlGI+/ZGtl1%20KHx5AyD5xtcpeq6x5/pfwMji4M68cCYQyecwh8RF7ZC1SOt5sJ3a+XuqFXbxdyfjOKzUM2/7uh2n%20IzgVU/JZdUbU0E4QVYq1BgGyJsxPZB7YpSkbwQVIPwIR/gcffJi12g9H2ixmDjhuxXmBjW5Czto8%20RfR+jLGwRmhsOJg2DLT74AqjqeZxfq+++kY1RGaibRDXFgoZv8gkGQKfPXvgQw8yEHeLgJC9p30R%20Oung3sS30yvAhvIa+wiOvLZdFLwNLjScOgqLghr3HpgewzDCrCtp92ximn5kLQBpBCAtR7b1AYsW%20TN9AEnvF68sSmk2Gwjkmin/IWi6Q4YnZNx9iDPsEuOja6gRFmtIG64ftmkuMrWkBgzUqMioRqg3w%20zgE0AhzoBwvl58W3hBfEZ0P8xhsrMGJHTpGGo+rNG7q5DPNlGLjIYkTGKEZKE0QXd+/QQUf6bppn%20m2RjenGh3ZXrSrVe382D3ulwPyPRGj5uXLsG28hK/nEv0YVtiRYqtrgex8Gk44sH1IIRad0u+Jef%20Xr/MDnFj709S/iwtoBqtdPvwIa42QQVavNsCmQ3LciAls/uhIIiez0hEipILEHhHuUcLfrBOFFt5%20RFFzgR5+g8a+XiMENreKb0Qp4uzO+JMeI0bWrTJdDBpfy/ibmVTYX3zRCRAz4PZgWkSJwi6KI5l6%20rbN+slws7OyEjC48ovEsiXpRymtIploUEvM1wHSt7biSprW11Q8+68aZT2Sybz90KKKVXg6X12hE%2000YE56GziGJm0LzJpjbKq6vmpRINrZAFFOaxkywHmlqF9QqNtwbCrMmU/uNPP4ENsVG98tqryHJ+%20IxNDZnCErbJRKObdHWez49R276GIjAO89wBmCYfYO2vvgJ540pFFY8A/N2hwuFUaOn4PGq57NljT%20Mj0lWsnPgMfu8wkiy9u3rpDO7+ea92Y6xthIX/Xv/901xH/uog/B8FcgIwu8+/eNwvM9GGaOUaZM%20op6h0TAE5pbY8ziOBwwRXSIgsGPrLM5GDrlR2xxYsQyDvr5jcQ6THE67UT0X1jz207zxIjivEZfw%20Xlqh+ezBoQkdKFLeAcT0zrffpvliD0b/TuG7JxuAv4xhtGJfeP1Q5vi9Nxhnpb6Frdp2uN4k6xMS%20OQ532XFPE5wbv6fj7BaqZM3M2PKavI4TQ2RfyFowIdGp6MB1pimpY8j7nBTibEYnyCCp6XXcvn07%20Z8TXE2KQENCLwXoefFuHP8vZOAhMIv1Oe/Jw0uDjQbRodOBz7BXPtjIGwqXWKBTf30dTzTyBiibC%20rE02RJ+DZLnOL774LGqNTQhzP5h6QJMYBXDO9e0bNxNoZLBFbVOKlCiaLdinbWDD+5P3AycJpdgn%20IRzav4dJ42DXU9RXDCYMPIUShSx1HOvSaYmgNcZdnCGhO22nAeiyNFICw9vsH6m52gMzyRGwb8XK%20mvfs3hcAenqGaqRTEWRmpPbh1rAd2hS86CVlqjIbV+5nBxxLvaVeFJQoKYOeZnZqNpGz3sKDKJ/x%20xLHDodgIWzQmXmRCBjfuIfStPKBCDfcwyMs3FlPssl1RI+prF/GcMubJaMHOIsW2e/GUvpcYtcW0%209QwkLUUhldtWMZ4O4FSdalXVKFWoeIDhVDrWZpuUiTTL4yhWqcclds+mMc0VS4L5mSKZzQQ2dGhM%20F3FUPjfx01KAs7mgYOUZo44hFUvSMbmJ9cw6o3nkPTcUs2Gj93dT9KQg4AHoRYfXkUcKiJiqroD7%20+ri9JyEKB3T6b/GvQQo3x6EGOg1a6t5uUqZ1NqM/q+H3Gdhos48OMJ+b3noSB2LBxTTJnM5KfQcH%20LbQgIot2nsGQ04ntciSKGSXNuox63WPgD43ozIyMisWq/zEz7fhvgQLtNGwHm1Mc1qrymw/Rbrzm%20VXFBIwwOKtfaTubkets16TNas4CIgeoDyxRncx32cqCc/fbpF18wRfl6nsNZnM233nm7unadiR9E%20yEIOKDAmEj9G5Oyst6mpu4gDFax+N9z373/vO9V3vvPt6rcffVD97/8P/6fq1m3STJtzCmAcLFEb%20Ihe4C3hIKGqLpgNoytEBSbHbmbc7lHuEI9xEQ03zYzD4WzTH9DAZ+7XqT/8UqGCVVuAR0l7G2yvS%20bgHv0qWLSF92IkB1gBcAnpoHr4dX+zzaJocPISREcWmaLrxPGc9UVS9Ue2mMkrBk5CkMYQOGzAkz%20G4WuhAJOnyJiZV2M/s587aXq1MsvxnG0kKWoY/E+cMMchusUBt5ikEbIIMQzYeHY9TfI8O9quDyA%20FTTImbT45/MUpzVlPw90cYupKmdOn4GOitKg2sfJdK2DyUoqmtc6XY2LtRWjRPeNjTXTRNtCg4r4%20d2M4owHOHtPYqVWzwWtYHLO+IDxht90UzuUBPOdDXPcfMbDg8uULMbpCIYvXF1IIy3lnj2ggzdBT%20hFaCASNpXWHJegpGTdsy4LQagy/WyTZu50B+9uXnCYyeJxvx7OzEgA/1DhNRF2qlUp7amHUnu1vD%204F6MvNtxcE1kPXbkfv7ll3UhF2x6gInhFPtlV9oYNkmRXwKCwZtcfWsmQRKAw2bQbbkPzCWjRQsq%20VCNrrD/QLnCW3aM8CzPJDmAQBjuLcWHx2VB6qpkZcBuMhYc6rIpEpSXkT+RDum3kJHxg5Gikajpj%20VEKshb4EhgSupz+v5/fTizD60SCLFYtVPiACsFulk5vOcMpFtYm7k4bISzQ1KGObYEkk3y10Gr2q%20Rt4bdgDnfmZ4mQJoKI0YnTBstJU0yQVjQxlhyCtsYiG87nAZMZq27prSxkGE2F0KmRbiwkHV9UiL%20c2II96XWhkVBN7fRsjDDojqtCIeXnlu76qy0uomM3jV0tVASi2AVva+fDkE2dmt0mVlAWAEWSXfg%20UTUMiuv080wGYK7YrGAEIM7ZKlG9JprrSIQHJkh1NLROf1YcaW0NZgaGM8UyYAkPZIaxsqnNUEoh%20zcq3DhYHaheQbeNcp1HCON1akajkPhSTeUzEOU6EaJPPrt1GM6qU9RJdDCQi0pJo+O2ynGeIqBF5%20X58/F3mj0LTaGRm/gvEVM18iUlyCI90+1V0No2mwHy63h8vrXIYKOUSE8M1vvknKuYvGguvV+x98%20ADPgOIVF2mSJ6mWTdPduBkvdR/q4RlCwRLFRQSY5g/0gI1e//JRn18ah6au+9+3Xq5/89DdMc5nN%20+vCYObR0ew5YtccRE7mIb5piejudQkQ17ei55w7zWAhSiH587hPASsIZwlDfeecbMbxG1qtrCzy3%20mcALRqx7954LBi8n9tgJxN3370acZ1/OgKyQ+0R6M0RFI0BMIxRMNzAoRqLjSIeaaT2PDvJgHxxx%20Mg6Nggfc/brDjAI+sV5n2wyLOsT4ODon6iqzn9yXi6Tk1kXCkApcQ52GGow6xF63z1mK3F2j50Qb%20SsaSqkuhoyC5RBCgsbZoJavCsESjK/7qeu7jrFl4Mos0YxJzRbCilrpVa7k7gZgf7kuzOA+FAY5n%209gC1mKIzvlWySwyZ4kQadL937PhzkT+IuBj/jS7tyvvqaIeAQYxghWi8R7NIneYUmaEBUSaPQGmU%20v76X7kNtwK9hklxnduMoz1p83j4C6xRtOLIxMh6frWddRolr4x7TwJs9L1On2UWQNAKL5XMgoPsO%20rsDoCrnsQxZ3FHaMUb09BZ4jMwttViajcJ2PaCM/T1u8X9PZDsnjxgAbXQfysLZFRr0AP35xkiCq%20mtJZMaiQzV3+lNlg1xtcPQl5ghJ1USPVQPu5iVZ9KsVr+qBIecVCwb7GxnYTjR3IpvLGxCZlT1gc%20MozXy+jh5PMZ/RkJ32S0jnzLFAZZhAGAe3mGFsk0oEai6xjOKFjhRTIglStwQU19NCBWvL0xyfC+%20h5vKn4leq4LpXLOC2DoBsVyxZYdhLtJQoAD9FBvZ13WxjCA0YKXoKM/SvnrTEFtUkemUCx2OpVV+%20mhLYj35mwLS7MLvcZhDpXhzwDtXhlPuEm8thtRASClzoexaNjNY0iqVjKgVBjKMUIev/rcIxRFe+%205qZCOabVvJFRhRCHEd8qJGUr1e1414xp19kQBa8sTSTqdG137dqdiruTGsTGVEkTN9bpdiPgbgHG%20bjzbv29wWJ1TZ7FxLzzXY4jGS7fSAdpsoxEV7JCONUHX1Q1SvumH0ymAKfSvoHhGUwHXNGGYpsD/%20LF5usEttgRcMl07YjdCPz3OcjS5HV26nRmNE9gnfd28olHPuhReDz1nNP/X8UKEg4WymlS3kGXR3%20IUpvIRHC/ke/fY/RWOer177xevUqEpYHMYbvf/BxdYdmhWHYESdPMYaI6Mu0UVzbezS9dr+6BsJB%20+6h2u/8vnP+yuk2GotGW3SJR7hBQwKtEp8eOHkwEHw4uz/sEhvcovPEzRKhy0S2AClntAgNtscBq%20YZvoyxR/FsNiAXQH67LOwbdAa9uyjkUjtpuIeYzPbZ6bwcAwmU9fey8NFfD2PcBc7zQGfYU16sCp%20TIHTaowNKKalyNl1x1obaBjpWUeQWy67Q9zXwnUKcPy8+ihGhM/hfO1yi94EmyKz7divcp9dT6Pz%20boKpqB9yL0Jcmc4j5zyUVqEoYBbOn0wOefWeVwOHaJSkiFVYC4tc94zzJV0znrnGtZ33MWp0H3pG%207Ow1Ovce/VOMXnvSYFc1ul09h9JuLebLxrFINkNt4d33fsUzfZBOXye8jCsvasOFhIQ5pt3jxDJt%20XBYZAdMmB9E9b6RrIS/9AzxHR6118Cws7nvtZpa2cQskDbEPR3fT/cf9Ol1bfNpZkcnO+Ykj0O/s%20gG1AkO6zR46+ouYkPVaWmjM1rSll+orYRabKEq7bU64R7O8vamA+QFP+0h5omkGUy8+K5xiNWhyz%20kSri3y4uN13A6noUvTgTH1Fh4rXkjT4EG9aIi0EJYSg7qdSm12BlOFoPvLdGNI0mHNwFgXwilk42%20sJMaUhQz6iQyE1/0kLqgHugpHqa96nEUXLeV5F5ZHRg9u806NTB7ZUswF47CwaoiOor12LnH7/gw%20bS6xs032SAoNOh8rwyzaTvJZr31qGh4yAZe3KJVR06r7IiOPEdZoihUeO7avevGFc7le6THem4bd%20hZGZQSAAPQhHxsK60BoFF8goxug7pCy5zUb3KeZJiPcNFE1x0m5XIjalQmUiCO/McmETbESjezMS%20jbEwkJlEA8LR6fgetnO7DsIatqNacLBF3s3yiKjH0UivvfY693EsX5smItPgOjHbri752XZ2pWrO%20elnAuYCIzRab2/fzEEfMJUVb4BEMk4ZWYr0SgkIdZhxCLkY0sxzSq0wO8eDuIW0/R+Hq+HMnqy8+%20+Cj36f5KBsXhELeVk/0CU0SM+G7fvRcpSzOPZjD3QbD4c6ePVy+dO5E02iG1MlVUMTNNH+Hayz3R%20Us++6yAaFZvuJNPQAAxbuccIP2YdRiluSdE8xOHSoFlAPAC0Iu7hPfUZfbp/7cqyw4uDb4Bg0FI4%201DhI3tfimQ5PCpcGW8EkO+KssWywxx4RMX6JfoTpsHMWjdIOU/g+RWu8Rk8jISzRjiOZ58+rZBAK%20T4kBa0Cj96GWMdfShnOWomeX3zRG0oBG5ba9QARG6ka87oNm7ktRoiiScWbcnzb0DON4w5jiOYhp%20uuk0zGXUF92AfP0gztpMWebCPaJ+6WNmhMmOhDiEXNLYQP0iv2djSIE6NG4GPgZc7Thu8VUbqDrs%20gFAfgneMIBCv49nVkPmc/D1b8lfJSP2Tm8y51FnYQn2HvXDr1jjPiykprFMol1xjehEIPoTdxK/d%207+4n4ScDErEHAwKjYQuTCxSLb5KxGBQO0TpuhmHk73nSoOjEZIbZn+A623GncfcMnoOKuB/mhpjz%20LIGTNkk7aHFTEX61fUQUtDXdYNCyRpoloWckeAo2I/FqpY+7VMzk8RmxWaiSfzg3X/iDpmLDFHO6%20SKfTcmwlPZEwWp1caH5GGov4FA/JxdH6p6NHyT+8qlFkJ5tqDxGpFdZF8VFxHTZzNHs5kKZqvoaO%20wZ8tDSklAE1nGzdvtKGTkBOcyQQc/AYtJyLbPGC9rddsM0gX3vf0IFETRRejZDepm8Uio+49alFs%20cHmmLqJG0Q3qM7EybbRgJXesvfBo05nE6wyS/g4PGz2UfnW5z7tJ7RT7ySh5u8x4DYtfZgoa+xVw%20diUVOzttQTUSRlGK6Gxj3eGQ6BVwuB8/xgmiquY1es/lubQFa+7iOkqPvW2spLVImLaM4PFxDUb0%200Y8ItcyxL2VcUJpeOOjDwAJGII7j8fmNUG1e3zySjCBRr51GGAgbBnRepqca4/ArpcTZNqvz5Z78%20M9EUC7OLg2sBxw8340E6B432PfwWEtU0MWJbxjipa+A17CGVt/DnNefQs4aHWZ9TKISpwuYBli7k%20XgqExf6R3eG4LPfSUSLVKYyaXZ9GJV6DIjyrjDBSJezUMYswrRFIH4JLKmZpRVyGwiQ0OfK+BBVL%20HCpjYIuSQxS3VjKDDmhFyAxjde3yFSiOV9hzYn1UwNl/ilztpzFjHNnKTz78IHz7k8wFfOwUE6K0%20skecCYch4e9mohaqVeEzmnLdFIdyYtogTkaD54DVWxgVnal71pCAng60N2bj8NosQuF81jlrqiT6%20mrKbhB3LngB3JdK+P/MglXv3rFlI92UxbZTigH4ij2vRl3dWB8M95MGy4u+nQY6F8GSWrIHBVIyf%20v2bWZuMSe1ixLala1n/MbMJicLyQrcPsOZ2+vy/9NY0U7D8z2gWgLVP8JWsu1g647secjYuXruT5%20u75qZtjOLUdXB9zeQWMKr2MBcAuMe4E9qsqik9JbWyisTZHlcBsnnjsdIXybKWa4txaeqQW97l6F%20vpRfAPe+cSe4b1/fzrSeHzhwtNq/a2/ucZ7i8G0Gu7qnBrhmNckdMDtJ4V2boBCXENeK+DXnVycg%20XDTEM9jD+vfxbzMdp6iYhXp2VYgbwMn2AB25h83co3fCWhn5kz8ABVDFNF0YRjdie9towOgBAZ0U%20sJScBIvh6ZiSmSoUPBbOsBM52CZSnaKopbByNAnEnCnkEGVnVh2L3MGD1ai6+By1tFVrPI2IM3Ye%20w206IX5nVXKRkeWZIMB1aHCNGv1MOM+//YyeBq/vjbkxirGuqjGMn8baVDBFRHBOo6k9qJvl5jl0%200nnEqTQi0djloa/3iRutxWuqiSwh2yKEhZL+toGkXcGNgFIOHdVJNQUnM/3TgRiVKD+ox4wQPYuU%20+X0mNUQFioX40c1m6rFCzfPQU4ZniqMTay5YR+mj7yYCjUD6Fvg4hz/atTgrnZnEe19Takz4zVyn%20m96oWuOe16kzEA+pHz5nr1XBmsKrLIpDq3B4W1do2lBCkWe5DKsmLbVEDG6UGbKOadbFZ+97eQ3+%20vllDY2SNaWIXdKfId2LoD4Jvalht9VY/wA6yMQyADk/aoRFep+kta+Naid1ZQNKZulZmND040M8w%20bqab90mn5YzvZ82IyRNpuNYS8dN8wAHZjWCS05nlBHdwQFepakumV/pUBo2HetTUkoPFccTpkWqC%20IT/kOWfuG/tlERaKe07DJd3IcVHd3QcSbd8H6hBvNYrep+wl172Mk3KPtbJnLlMwUkXMgy5jKPzl%201F2MEKVyZbRO6iaqDyrUoyhTB/vGSSf3MK5huWCYH5LhOUj2TeiZL736ajK2SQIdtSc8xOoZ7Aa7%20HNu7P0ZA8yg05fMfHRnL2RlXcpX9IVPB4Ejj9hCHeJWCqNGsUe1hHOUQxsHAYXOrJUwD960SA0J+%20ngdlAGQwHFCK04YTqFnCj5NkFGaXNqz4LDyHRfAJbJ4isL/j+/h8GhoznplMzTDb5P7MhMyaLS6m%20oE6GptMW9pCC6lpa9BMi1B5l9uGCimdONOHM44QGafDqxiGO330AY+LLwrBiXzuc18xCaYboipDG%2079lPBMzf+wdHq+fPYf5aLof9sgchr910Jfo6UxToz1+8XF28ejMwolo8dtbafCTdV1toNllo6tZi%203L/ul87UsDwL13nG8sOtRRQsmnqJ3HkMs7o4RyjAG2lHBU6KqAHqkmA/r2qk0URr6SB4lgbu6jVv%20fmfaEN0gejoN8c5VS9J2nZRpyBoRDXLaDPlWxqHrOQMn4H2IpKanSdHX4ShiLCXBl/FNpftNwzAz%20TXGGrrAjpGPHUB/T898Eh5xE3UiuoZvXw2V6HIEaF1ScyIiMnvKMX+K9i+D97joiBxvmcBlhuVFM%20O5bxVBo0P2Z9b4WJ+K5Rqt1Q4lxuYotYpbBoJ5HcyJ3h2RqBa/CsmGqkjKht89bYGfGJ/Wjg0lGY%20lKxoZ/j7ajYUTVi7EqW8kFZyOFqp2K4scri4lgwwDP7lIZYkbvefHUxUrY3CuHa7izaVHo2xAdvC%200GiwpRe1MPHZxg+vQdhAi9zAvY2OpduYgru+OjwbLpzUYRii3kQXqXPWmnvx9zJcgKXyoMSYk7o6%20488U2NeeIqWeZH1dS2sKQkUW8XRk06qVqSNLNDDr/L/J0iXWO0DUbvGFAx9FMO5FwzqN5vOMGtlG%20UBxCjZ8CRhpGDbg4t8/CbiXX0pS+dHFyPRgznZ8NCDr4Lg60Ud0jXlOYwYMghm0UvUpD0aWLX8YY%20ikPfB/M2Et0HdBXyv/s8DIIa+oFxogEPZMTaCUWYqlpQCgsiEN52dek83W6cj9dfeSUOzWvUUdt0%20ISdULSU1RRJlE3lZwJR3b8u9OK/Uzi8x5ouJogq0ITQkBORkcmxvnv0gkZUnXMNi9iW+aZNTUZMr%20mh5CNkZtj9CNcTivReJtPoeh5x05fJioFCMtpMA62F1my78U0IMY270YE8+5NRUjUK/xMPTXXTyD%206G+QWUSXWD1q1kS5UA3WrXpcmc/SNbDYJwQivKGUaxuO/hYO6wKsjewnrv0YVDqFh2R/eEZ9xkqC%20hijQ0hdYLxgxjtpnotiY3b8r7HuzHAuPQlv90Aj99zQRsPWLeXVBhB6A8AaGGKBKkJjAAHLCBcT0%20zfZ1RKeePxPtEB2R963dWmVmn9dnkdtBq0bAFgfD5CKYGRpEe9i8AJuZAJTCn/K2qxbzWXNlFjwD%20yzgor9nCnjWeDOKQY4yB1jkusC4HGVVm0OM+jp2VzK7KkkZojfbZ6enS5uemSXxncYkD1UIKYFQl%207paoU1DeTcGnvEy9f7Ay/xImRmEibPH7Rj2SuDVyek+NkJvH3/fQa9wXwWfukw4/h2rayZPHUyz0%20d5z+LOi+htGenoLXa3GL9/Zgp+rKe2xuFq1kIxK1huXCmraJbXtvRo0C7GKDDRxVmouTQwo/kO44%20rlFxHje8RZHS5mjnPf/BLrGQEFUmN31MEXAG880mp4v8XkOOT+slt7dUgcHE5O8axYsXcdD8OYtz%2024y9l5dq+qJKm8L84r4aYA+rrym2ZTaStnAM5wZcYo1smC3K/okJqyInru9z4dMiWkR5cv3oDWCM%20dIjZ1GwgZT2D4SneopCJSmUcjGamqXjIxeo1fCX7cQ0LPJE5YbVQd1phZaywxkY/EdPmvZK2OXWY%20Z2pEIjTU1i/Ms1E4qFxn+Kp1+71/V0NZRy8fuEAeRbjK+kVzCxER929jRx+QgU7ZqrQpvI03RnBi%204dLijKYVYtHpmGWZXqsZ4Uq4V7rsesIwFryeadIc7I8+QkmMDtSTYNJyr+2wVG/XQq5GxCjQ69aQ%20Z2IGDTbip9KvNAIaCbG/DesKPPeDqPTJSTWYsJhsxDi7Oh38WKchtVEozw46I0o5xhZidRYGH0IX%204dFb6+AaBtnHFrqdxNwD/imlyo4wM5WmZlkH4O5pR/eZWVsAKiTgiHFOUwp7mwBAR+6BNGsaJWL/%205je+kYjXvXzhwvnqPNQtpWfFr9947bWk5MIU0jSdkee1W1tySvo8UbEFKjOHduUMFMS3EMazN5qd%20g/FiBCvUd/06k224Jw2Rzk8jEfEhfncI3P00OLideBbXpVKqAS57w2d6Wz3x1JI6w2FOW7WmpW6t%209wy6f4zOF2HVDCG3cIzJJFapboDzSnnVmHrvGs3bcKmlal5FT8eH3EG0+/rXd8F22Z8eAIOsR5yT%20FcgLq7zeMNlFSzO/T/RtQda1VM5TGMaBD0VKFhwau3nv3p3QXIfgPKtcqDN0L6uxo9OyO9XARKRg%20GCeuw1ojmFBOQtqbPHCdQ7NjU3xQftHimphbER9RnIWoBYMmxulGlqZm62OJau0AsXlA+Up68vVm%20atfWlVaNsS5TJSiBe72RC+ShCJgu7YqL1NtYcGjBGIjf/dv/5wMKMmeCfSlWLd5r1G7kIFdWjrOd%20LabMaR3lUwPaGA+l4RUW0DiYDmu4xKl0JB4ie9vdoBpEnYbz7AKecy1u5gDtOBB5ij5QN5BO42kB%20omg01BaZVtzNdLFZnZZPmSnLLIKb0/t06JMRr8ZbB+P9K3xii7AsECNZD2uo3RhR++6XInhdFLO8%20rzBLzLsi4u65Kh1g/t370v8VDArOJF/XoPtMTAZlx7gGrqmHy4JVRsGErVEcZ4qrRtNch86urJfN%20OuU2TRc7yUCKyDjNMUSXDg/1OoyANJJCWY+7eL3BoqEbKVCpU2xiD5/qfA3YynWPMy+bJHiqxnQX%20kWqZ3mA7t7RHi7pdSU1dj1TtgUJ2MX1FrrcpuVCS8JWUx0ekt1Kz1AMxmrXBYZFr1TG6ZxoaCUeg%20cWlM3O9Wu18892IanK7SDvwQSpLnwYPWxO98/PHHYTo4mHYXVDRfQyjt6BEi94f3ONzXyOiOgBPu%20TkZgF+eyDAkplqr4YUEcf+TaCr3oaGc0wHzP1/VPMXQLoT7DQB5hABU6qG3rQh8jRH8nCFQ0sFcR%20dRdDdV+L3Zr9rWMMUofg8LvvfPZipEb70sd0iCq12Xn3BmpzSnQaWN2Hv21UbHu1UN2nH39avQxb%20xCjZs+A1XkzUr+5GCaY0wgYvtr/LCFA0J1E7cEEH6yPtLVmS9oP1Nxq2sL4PFs4pJom3yvDxbLAP%20xGOPkwFYBNWZa4fMiBZwaAYMFiAjU8oaapjtErTQv0T/wKq8f96L+LNaf8jZ4zw55aQDyQBx6Qwz%20BtN9RMPNw4fy/AkUmCrivr5y5SaF5qsY5NfYX4vQKS8SEHofnBUChL6+ISCHw1A2Z6tH42ZYYNUq%206tmVCD5tgGgA5GSV1CGAHr7x5jfDW36PvSs8Z71F+uUqwkLudbFo2WLhfxss2UiCo1HG9Ap1iGYf%20uF7PjZ6qr0bWI5KDUjQDdkJgtztqtXm14LakSNJQfLHoDNSq+R5wp+bWdYFswBIhljBdo23aaHRo%20Wu/D3amwTCZ6ULXGMN25g77vvdvx4O0KXmNIpFXtgSeowEaiUjbaHfrx7+DtNDDDYG+yAWZYcJXU%20TCtMXZMm8+RNUbxWo3iNboabsoksXEo3a+UBR4xaBbdm5qoZcfI9n4WvL5RhROQBNVo3yjYqK1F+%200WIQttB7yi/1AdgKnWkDRqmWZqQC4Vh8firAWZTakv9bG3afnRGwX/M1whipGSFCPykKZkuW7gUN%20qX+LwlrS/TLY0XXL+0W0hfsAa25t35umAaOh6NxaLOG5tiktqMG2ccXCnv/xnjHsiK+I/2usg4vT%20RTU3eyewgnCNhiJRI9Ge9zYI7ihUIu1MDug4kZ9Ri1GA3E0Ph8M1TeEzDFTcudYtyHPkeprYqKZr%20YruLwFZS0KwpGGlq8KWhaVTERHeh4+FBNKrUqbVut0cJ8FM4od6DQlF2Nlnxd12NblNo5BqEy/qJ%20fDUCme9GxH/r4c3sCwOMO6TTq1y3zAkxfffBbhzAaaZ56LQ2GDyqspmjj2z191kfOopWsLrdRkIa%20K/VuOQsamUc0NlhE++EPfwhrZlfE3zNGSSaRgvK286do7fAEMVX1UqhfrIJRtiIuxc88QKPYaNsC%20uZ8GCmKSGU9EiuxcxQzM5E/vVUP7Kups0tNsDDlPBCzl1BFFjlsyGDp+/FjOr+3Aph/uQc+VgYyF%20U7v/1L3+DdrJ1lGM2nWKGxhHMyCF9Q0szP4WgAYy3479awBgQGC3rZGCeLlOQrxUI9zP2uhk3W9G%20mQM4YR3jbz/4bXWd5+muVLCque6OXcaAJgO2WAlWL9Z6m+izmb3QR6TZikF7gPO7C9wyTITchVaE%20A3Atwt8FR75w/lI4zRvoU2QcGXv7Dgb2pz/7BccHoSMgSVvtO2hgaseZLAFV7HCUHPRJZRB0LNoj%20GSs+N0WVjNq1DWY6QzTa6Ggn0A0RXz9x/GR1YfNCFBkNFoS3IhXBf2FJJUsV9TH7tfakMBQBodHX%20F3Q9CUjrjUMr40E25Cuj1MWRLzgmxrn+dw4Th2CL4pJYqBFsOMDibWyIxqy7JPQuiFEXr2PUZLTq%20JjDl1ngaOS0QgQu8K7qtgzB60NtKBbp6EWEOIg83VqNp5B4PRI6rIL00NJkdN24wdgePNDo6ULft%20Au4rQo8hsh9cvNWb8P48eEW71u4gKHKyJ/hZx6XbMy4x3xTX5xMJyS3SYJ0L96aB8F6TnhmN2nPu%20fUkTY3OmgBmPJHgv7iX7BGOjQWbjpmAocZ3f0QEa7diNM4AxM/XVOekLff/AONF7LcNcxbUbimeh%20xpmacx9mHhFoidYDBdE2DbrZSxlnbzTsFIhQqDgciJBlcoQKa0aVHgi9tZ46xQnex2nZsio04P7d%205yK9S4Ea01MjPg1F2uHnbifC0ji7CVWa01DKFHBPbNDKvWyxkp835fd5GAAYFTbYLJevXimqY9Lz%20wMI1Lhpn96LXJMamQbKz0gLJp599HnbHKZgLz0MlshV8PzDBLYj+n9BWrYjViy++kGKaz16IIoaf%209/Y1dSZitLNcs/CEzADXV8dsdOs6nSD1tbtrF4fcfbvfwh3PW5EgYSczgN+9/0GKTqdslGEvTNBG%20q4ETT9UwmtYLr4i5O3PuMsbBPWhx18YDOxidP2cBVEzcPeM5Ew7yDJiVmS3c5r6EYMKOUYJzA74q%20eydaxm62OhvzWk+fPg3tj8EO7N8TCOi45nsp+BkAua+6FL6xhqLso5kna+kzst3agtlECqbtMFoO%20V++8/U7uRRU419R9pWCUUbtR3tcw+hrrK0TsYu1FxbCMEQvsUqfoFmCFHxQqOoqxP3HiePZdgkBe%20x2aKNKEBE5rd6vhcd5+7zt0ATlhMhy63uJcAYA+RsLUGU30NvTj3DoKNJdbmi/NXMJxOHrfrVehO%20Bpf1Jp/tKnj1JN2QX2C72KPsh6NHzFysa9HExB5bnnXc2gbX+RyU1XYylGtp0AmmT9TrBB4zOnHa%20u5wNnfEr6Ii8RsH1HC3ePqNeoRICMwOh+0TR42rAOHqKe9Zxe351SEI0zWJfpbGjTFsI5iteKC7J%20vxMpR3dVY6KkZZmAGow0bYCmpUAaREq2D2eib9JoJ7yGGlCitejXPs4F+7pu4gUBcCkfFsJMIy0s%20mQqBUZte7cUA6yCMbq2+6zWvX76aDWW0q+FVnUxMxzHlly8aPVCsm59IJXiIlOZrtJBqhHxPPXMq%20snUGkOGLUtdq4SIJ4h7AzL3jYCpaYiQbqhvvJ27coP0VZTo8J9f1gKKDRtIo2wjRTWckoLfbs6cc%20SF833XxsMJ2NC2OxxQ0tVWgUJ9AA+41/XSSjUB2B0VLWwQwDAxwxaoWaHOskzJNiKike76NRcUMr%20E+j7rYFLayg0foXYXzaGLASF43twft6H6y73dYZiq0ZfsrsYoLTF+QjgPwoGeAMoyd81lTfltk1r%20Bj6y2hWPTLPDUy/8U3/eiEf8Ps852QcZEGtstG3RRPEaVece0ja6htayUJS6FrJEhDWGOHwnaTqR%20AdHJxr9MOvcXf/7j6uNPPgtcYBCgNGUX+LR47UnSYFNbI/4bN69Wv/ntb6rX3niN5g+akTgcZkcW%208rw2028jYCEfjZUdqJ4B70HmifvVVN+9+hGTnnUEtqFbuLuGqp57PRoSRJyXzl9E5W4uAzs11k4c%20WW1lr3MEztDS7AH2/fw0BNBpSNMTLhE79jU0Mo3ai+urY27vIiBhXU2XX8CxGJBYgDMF9mdVEBNy%20K21BDuQsHbLu4euK5wBRuB7qXofby56aw7FqhBW22kfEr6FxnYzaRglqRjCM7gk7Wq9d2QyL4lvf%20+lbOgrCNDt1ag7UIG3Ns4dZoy9xQH7wpSmyIjCll6X1wnXZpmt2Nch23GD1WXb2axp/bNPwYhAkt%20vfjyyzlfdmOaiXve5IJHPJ+7C6TDfnUqtbCMczabxLO5Trv4bAnXQBsl3/jiS5z1eXBbDHQLY8PI%20OsooKZ8UZ4toZGQYaIlo2OvWKW7jLI2I5RzbxPQAyGqFbNdPlQlFELI3eHZTi5MUsKWtwasm2PO8%20HQP+sk6ito3OWL1iJQZcqHD61XJn8cWxS22NDJXrNlPz3/C9ma7MxpN47YbQCGUcUBbZNLsY1EYh%20TEUqb0mvnnElbEgxX4F1eaIaVLG8iJUY5UVLtgz8U0RjUVWj5sJq8AI1xG1EBAaSLRQknFqhwbZI%20ITnaSFiGh+I0Rw4fSbFHY+b7mDpoQMdIOU3DeplQ243eQFe3eG0ZxXQXulC0LPi0C81igTizm08s%20TczKdB9dkIxWekTbq+LgYuMyPVLYNLVI+qWmRdFf1lk1BI+MCDKNZIVWbgyOPEMNmg9ZMR894ccf%20flgMOt1ypjc6Eg2yRv3c2TM0hrwY8v+d2w4VtcuvOEQ//P8MU2Xx0gGIce7nmXQCzVhRNvqcZXTO%201SvXgh8KqRgpyKs20xhiQ9sZdR4xcWk1WgMPfj/PTs6pm0SP7TVZZDKLsFMyo9WDTRdIRrjoDspi%20H7z/IffIGCieu9GwOJlUJp2eUyx0lkm7bJMXb1ZZi9fReA3zM0IHtlZbMPU5e0jFWs0uNBLbHAiH%20pEpr8lkbPT8EC/7pT39KavlzYCwNfBfGfDcdUGPVIbRPBt0He/bl3q5SDNt2PBdTw8eBCH7zm98m%20hT7Gveoo/TDyNALUMAq7qQ2hMW4iYuwEEzT6XBEzJcKXtWKnmntBBUAbRnyOicJYHeE0o2plTe+P%2038cpkEpjAF3HPUR7TqcwEPAsCGG4/3SQPh8hn6awikpTRKAxDr8G2AjePR6mgYVezqIGyfcSSggD%20iuMpBBTn7bPjzI2j7yKubGRmNuc+tPgnXznaJ2YEdadd1g/WkUbQM29GOosh99wZGUtjs1iqUzTr%20E4s3Q9JRNYyKBTcdlhDGTq7XtbfRIYL5tYzm5uRmBphaLJaDbRPTl0Ta9zFcpv8niJQ9T2aLZk4W%20r83I7t2bCE+/XxiMTztmb3J/C8Cau9k/UvVk6wwjLmajyLxt2NRu7t+nsWJ+I5KbTpaJqJGGmOek%20Zngn67D/wKE0rcl5ljHStFOKo4OPh6tJouYL6Eiv87z3ExTaKp/xUGSaS0TN8o3tDXgOqOfEc0ci%20dG9xz6Aw1Dy7MAlSLRY3Gj8mWVPpmnYke47NWtxnBQ6F624UVjaWhPjJREIW1Sx4ZASLBtMIT+4u%20Hv+2ETG/HPFuO+Ai4lMYBik8BL4Q2ihTk8M0iA4CTQlsHiliGn7pPH7d9twgy6RnTuJ48ewLSVvf%20e/+32QSmwbYo+qevq1EowtViviiUcTN6NiPeo8eogBtJ8z5GL763G1ueqh1jEey2s8cIXO5iim1U%20hetCnQemDCFUB0LsbTb35UcmUiSCKvevRKO8T9N/N5gcXVM2PaKvnQo8m8Qo4SCR3WeffJLXSxQr%20Xlh3ZhnxqVQ1QqoSSUUoazYHCK0U6tFkFqoVxkihx6wlUjmFhoGTL5y4e/AQlWodIK/tQntwHHho%20NCb0cJyef3H1K0QjkxwSJUJb+bp/b755h0r0MGsHVAFtymGdquIZseucNVpN9Pw/5us6wwNwMb0u%208XGVq8x4hojqx6iGH0HKUXnBiM7cepho4ZWvvRz92k8/+TRYqUU5n5HptbxLoYo05LjZg/PjaDB2%20pqNSgTQU/vxvfo3GBBxfs6QTz2FUMfg6bJuFdCoDRCHyomVxLPrcVDjDoChUdA/5yp/99K/I3Lar%20s9CZLAwpe6oes+wD+aFmDirQaXCaOLzCSBpfr1GjY8SbqrpNKVhHtXY9A2Y6hr+yGjraZamgPwG/%201wPra2qMTNV1ZIrwqGcgnU3mkE01Oj8dY6ZTsJfEv+Uc2/L8mJ81lNqNMRBGU7Y1wU6j8B3HpTgV%20xplnZKXeyEuYKNmsFMGcOTITKXZGPHxdo2ug5PNbJ8qVA95nBxofM8mOoNtxjcZhQnI69+jBGEBx%20HWnvtd2Z+zO7cT/YVOL5yJBNzpAOSyaGDkToZh/Pz+y2DBh1ApB6LluI2R+OU9PZqDshZDmDAdPA%20+6zd8zJIjmH05HZLRZRz3gq0MAcjZpLnJ42tl7X+8tKl7NOxsQOskUNxHbmlDIJ5kvUUR4AV4fue%20FjjkBBObW/Q8hAAA1GcQGgkFOhlp2gjNlP/CtlBak3uZ4v3u35vO+3z3D16pvvXW10NyMHjSPklp%20FFbpZ89rhB3caiYqRDSGXRXG0Q6qsGgtJJx4BYZ4ls02Y/gATSPVEjbVtTBgemXKK4/YgpMHxK4t%20U5Mir8fCqmSPopsVSxekvXMwXljPn0NdK/83g9Uo06jIiFVpxZSt6vuzQhiK/LghhSj8u2R2UwWh%20BieA+DMZwcNGL/O+LCjC6WMRMxOtFiIJncR2VB7oGJNsx8DOjAL0fBoOcenM6BJ+wdgZXRltZqy7%200wm4Dx9kyNwsntGoGz/yd1xvaRXvT/qsV5N2JYam4RenE9bo5D7K1IYy8UO4os+mGaGWtECWzkLv%201+jD9GyQqMUIqQvDfBZYxVB4VkEUDNtDNrlrYtQo9KODdNCpXVd2CHV1kSHwe9EXYAyQm9ss5vq1%20K6hNfU5afy0iKD5rr0FYR9jA9f38sy8xnBerc0Tvp8AYXzj7YpxvWm7B6nfSmSQH0w1pJCSLQeze%20j6vgu+KKBzggY2DIMlWkEslW8fC64V1vBcw7eGZjGc5q+kuETXqZib42ePAzjuM6CFxhYdE25BTY%20iKA9DK6Vz1rmwPNco4yJe7zvBMailYPbo2YCxtwsQTHwRzwzC4ZW3E0TTT8NiO7eull9+D4t1Zs7%20MoYKwiFf57BiLHeiH6LMVauz8zDYM8xbK92CBes3VdbQediE09wXfTj3FKE4XNLCzMBu8R4aFZ+V%200qtNTUyMIBAQJ7Wd2c8XX3iJA2+b81zaxi9AKzMw0cB3mElKu8LRmF16SG1k6uwQyyzMHg2GmYXT%20osXnzVJ7+unsxNDoiEsGQsMOjiMzJFmrzJTkU2fl921dVgRfB+g9bbA/2pzO7gBTi7WcMQWNPDf+%20nvvajj1hBQ27tRWdRQqKoeMJcYHNyj3mI2wi9prNJOKh7qEe/n0QzrTVfNfQ4usAvGdZHRrgiONz%20bUIhhU2CgVrlfNoUweu55t3WVNgTGlHnGxnd28F5fN9JujyPVRM44AylYB9YdzBjt1bm1PnYIwym%20EbdiRMMEIJIDOinSHSBClvVgx+KBPRjidrQoemE9DIxUE4t3ec6ziPATbLEHuzi3w8p2YiuNiN0n%20E0jYOnNyhedgUVYtcBlbGyELAB9yXe6JYSLuTKtutQO52JaMisPmee6atdrzXLHGwOJV5sIRtUgK%20n4CQ7aGKhjERcD8YrJ1zjxeKsIVGsdCUwCGlcXAhRorCCqZIRp2Z3hwGVWFniNH0E4E1UzAw+vFQ%20isUYwaQjKe2TRUHJVkSjTSOXnh4ewpCTeCFUYxwF1oUcbLTQGDtGXoaDjkUw3Op3P+pXaxifbarT%20erKov6mgoG4Evez232vcLHKFT8uiu+FLeg0txskWGNvSUVgMQw4nD17npTaDbc5ixnp/P3Q60ldO%20gM8OKZDEhr0DvmhVdS8LaGSskXZDGvFq3H0Pxdp9PTeiD0z4YZ1rauPQHGATWPjTkHuvrskDpnFo%20TzRGwgoaIKv/thWL4TtVQa6k2YEdcD6X/WxwIzAjXBtnRqns61j2cth2c9ik7agB0ErzyIF9B+Pd%20rVarh6FM4DpVe9dR+pjRWzYQz9A2WF9frq4TLzqIghqNC9O0o67BcqDZrfo2cphl4CUwEM7W+W/C%20A9YWxDKbaAc3Ehcr1HlGI4F79pkZjQUT5R5GgSPUmpjgtTt5nW4PCQZx2wOKMW8myu/mMNnEtJf7%206ASu6ODvj9jTn3z4SfWAVNtBrK+88LXQuaRmmeFlMnatIRCqIc/OeoHXYAptkUp4y8aJ/09jf/7t%2015VcB56PJAACJGZwnmcmmcw5U0pZUluyVLbLtryqXF1/ZNcPvaqX2zW5ZElZSkuycuKQnOd5AomB%20mAGi92fHPSCkqu7Vj/kSwHvf7/3ee06cGHbsiMAUgB2KpGC/TzyhYuzmshHQoCRCGXZwEXrfb9PB%2060Q82CdS6CBKA808kXD9sSTXyMFMtplI1NnzpwScQ+8ebo8BO2iYqc5/eVaR4ZtvvtWOZTqB8bIo%20NceNfF1JT2Rsh6E1TrER1tDZyLjkJIP3QLxaZ01VIc/+7lD3QEc7Kb8na4f0Ac/zuV+OC+P6UCr2%20KHeN8PF72jwL3JPzwbNdZ8SaTcvImVn5cdbtXHqOaAJl4km968gph+uWPBdud7/gqJGl2/LsnBJn%20kMLnPK3GQvcGb9e32DU5PTXsWeOb4+0eDa+dB3w5514r0htji+1l24XG6FxOhP5IBgE8mVoGzaDo%20rpsywNS8QD3Ad9MLLSwDdwYK03EvfzcQ+PbI+b2JIsCQ+xPhYXOJusiGyEIyGTddQltymwyI6sCo%201gmFjWPnGTkaaLA13ht+vOvZhM+rGZANkhQBvrf8WYJuwyp5u8IEhw5IL0FDAITq0wk/kIA69s54%20wgMNlpNFFHa2TFdXtmxehSwH/8MsZJMkeV9LRHPoH8nkWhZaF6rTEgGSEdk0Frkz1XKFW0wcSBLg%20PjzIhDHtktS+D+OROOx4fzyLgwdOlCdJ2asaU25Zy9iiCJsoWdWsWKu3hK4U8a5bsEI0RZmGPjNf%20TBlxNlPyiXLDbc2G3JwpGeAU/YqNM7JOt2UyBW9Ah7OOEMo1YJrfU9HD04nC4lX6OTwUGwWubB0k%20yignVBk42U27kiXO+u7ZWBiffDbva9OSvEZcqqQUw8C9vZbeCRShPfn+975XY6aNIi+plL6NukjI%20NeexJrwQ78eZ1Mxbrb2Bj7y/yxTwzVNhd/pEqrVyn7BupbttghOq1NvpXqYjmsY9QrbjMTTW3Pq5%20FkyQAsPvPR65+M2vn+sB1zLRvmhspBoQhARW+iAjikBPvAgMA2GsDdOI6ph5ipEfDeRvC93xfCIn%20jdZvicfaGYtRNFjgoAqc0cNRypfOwobT9yHcUdTp115+bedEEjQ/SqnxIw88Um8cZVEjGqXv+L6M%20pAGgup0NLfNSFRj5B1vwWkEYjCpIifxKYnFEeKylHkYpuKbXg+NAKM8ngQeqozBq2CV58p47E3Hg%20Gju0L/32hUYNZsNpcjNylURS9uy2yJ38CaPqsGtZe1POjPt9M8ruqyS/JEcpYHsuJ3Lw4JUOQ1Bl%202iGZ2bdo6TgkiVizMt8KW+A7SZ4dyx6+/PyzDa1BZuSYQgJVOL/Tg2T6c1P4R1Oa7ixwYvCtOVf2%202jr5vjtRkUQw7/FcEnW87Y9iyHnLnJNCfjmfEsnt6ZvnsW5wY/Aaz9ZnMihgOA5VWwxEb1yKbIlM%20ra0eEL9475fZq69aSXkpShW2rhJu6m3BR/rVXNr5znef3vn93/9J8PNABtzmvObDwA7vvXs8076j%20mONcYFLw9CehedvOY4k2zYu8EuXJ2MHUP3ovuP7J4ymQuaNJXY7n5fyesj3dyfKou6icqibDw88z%20k+mOVeNMZi9LJSUnpTXmuT4MgL6aAi1MlEISaqLbUAQ6G7HcPDiH20Podwtq0OvT72yYA6iLkQ2g%207Cj0oZENl64hf97zrafSszVe8CfZGKENIRT+GYAK1/o4m3eBF5oNvRCal8o0G+Xwn5C82yg8ujQ9%20FC+P9XJtn/96cFEK+PPP0nc4RH6fTZm2oip4rOSZhePRtFCjvVk11f+6mDWWgMYvFAkhYvEZmQ4Y%20zSKymA/l0EmiqNgR+jNYvOEv8vq3A/pLZJQOlk17IONx7ksm33OBOtyLZ8WZdb2pzMrmIrpnLXiD%20KFNH/0l6sMbogBRK/4rQ+70sMqWrr7QiEOHqV2dTHRUMUrIFLKJ/K2/tlCy9xkkRzGUwj4f5wBtp%20WXbW9IEHMUYO9vkwDBQpiG5efPb5nbdff3PGUEUOyj1mqHLAjdhRBgrLJ1TvvxtFlkSZNqEq207k%20Mwiy92iaozDk0Qi0yTD7D2TkUg4LShnlz3jwBO2LdbQeFBjjxAPclWIXnhzDDI74OJjhi2FUUMrf%20/+GPdm6/N2tk6kT2/414pW8YXRT45uNQH2+458adF194NZHL+/msYOV5FuWvt8RL/jgy8txvXuiE%20Z2XR++J5Tn+TUL/ibmEPURjwWvglj7dJrtwHhUn2wT8cAKXtEnYw6ruSJGboQEsfJiK4LXJHSYPQ%20NJc3TV0zdEqwlYpRsvbD5IzPE+3wpo00kpQtLzjygD+NV4uHL/p5+umnS+VsO0fUSrU2UYQM5bvv%20ftCQGcvEsAc4cxk/kS/GoZNcwlY6mM+4iv8bJ+K+eJr2SAL741C3sGo6dTmKCXtDpAmeABdQRJ7P%20InGQpvWuLnqHY1xTObtBeJwVc+zIL+wXhOJaHC3OQ/MBIr2cw32XsKOSmJQszc+N5AI3Uro3b949%20TPiAugbeuB7UMZIqEPWd4RQ+HyNyS3BeCVOJaF4wgwGXhlGL7H7y4+/v/Lf/9z+LAk/T+E8/atR8%20Ls6ERv5fg6wSZZvkg0f80m8DIb345s5Hhi5kf59KA/z33gq98MM3OmRD62DVrLxupAbXb58KfSvy%207BLV9qe1A1ohZJPspQgaZn8p4+JEXpQwEkMT3sD/VtXESherygJRpH7mMBA0uAbLqHTTpvs5wJ5l%20Xk1AhvVwtD9vf4D8jjANNGH0jiGEB3q4eYKy9QQGTaVJNGT8/I7yN3+Oa09BmMlFGd6mBDGCh2Rf%20wnf+fk9e08Gm7dyVMUkRct6E+4LTwLd9HmVNKcAm0fEYFcR0ihjGqYLu4AP7OxJd8yDhF54sz3B/%201uS9WHXRgITFkTwHQfRZ2CN64FK0ZT7g00aYPkxVk6z7kSjdRxLWKYRgwEQcKtFWF6eGeLmfNszO%20OvCSGA/jp2wOA+IeYcIPJ/lzV5T6JX2hc+heTbIC/Umza14WT0jyoBn6GDXhNqP03rvDhBChlAee%20ze2MOr1m7UvCK5NCDkaQNRSnXBkLVDWejOgGxgjhQWVjoLUoxC7gka0Obvb0qzQ6UqBy7FjCtihO%20LRh5SE2K4bPGS7g1hu6H+X7/jbfiUb/TOWwoZxJGZICiuTPwyd13HO+aUgBVDlFEB+6JcCdxc0Kv%20Cc2LomRuv+n+JlA/yP08nwP0eefkhTr4wWc7xz86sfObv38u5expgclry7oIX3nI2mUKU6279dT3%20hOKAByqQ0Z5S608KZ8ZxBccsdHW+ihlm+mgiubvD6EAtkzc4kudmNHDf88MYiSTB8bkjmwzfnsg7%20iOe1lF2TJVg0+UfXA7eBETBSHo4cMtryERwMje3lD2oMttaWFMJZLCbKO+t5IHjkw1GG2BAgkF2R%20CYNNmyTqwIfMJsz+3XTgxsJKqwkWB4yi/nUasQuj30qFHuesBUfZsw73jWwZwOkZKLmFCXOscG/t%20sft1FhkhcAIsV+MnRgik0vL8QDvOFHoYw0UG9auQE+BVk/ndea8m+ZeTaOMEipycb4lP0QU4r21y%208zzO9sGUNXNCRPR6XHdIaIyQWYS49AgJrNWPM7rq3/zrf1kY7eOP32tBliq6XTd+lWkqj6UYJ7mb%20GMRzGe317tt6aLyeRF2a9Yf59et9v9q5UWvbJMUNe7gt1ZDabvKSQVUYFHqBt8iMAYmc0G1yNxLh%204C9yRK8UMrG2WY8MIO0zlPrr3zDImxOGusCiJLUQAtsgG3FPAG2HmPdWRQs6yAWU77FuqqxW7fni%20y3W6RN7fwg68Y6B+XstLwyGWGPhs494SFtqfAhV6U4YPSoTl38qjCT4KGkt5i+5fwfpKH4sHq5ct%20YfrZz/6qh8R9stLrc1d1YW8givKr09reTbN4GJKQlDXDEKAIPCNDg3dpsYR7++KJ8EZWwYBkxtlY%20WpMKeDFC/88TAlJsuMb4rLy8v/+7X1c5aqCiRBOuxFLyyEAZk0Scqdsy95QwT9GmUdJYA3oFaPrz%202xTlSHoyKGAMYTAoQOku1gsjQpBQA7Uc3J9qOdb3vniGheHyh32zNrB5As4TgbkTGJijqOD+eBXu%202bqVFaJHbTxue9Aqv1zTeyhp2eYH87kazQgJTU6+O4wKCleoiTbGAIkWeA64qdgc+2C8ea/ErMPA%20YDGcPPJ62/EScY8lIlGoPgocIumKY4zl8lgSNU+GCnjW1JOEt7DyKzecSjLz/chJkqkphX07SZcP%20PzgR/mfuIRAdFD5FpDt3m0sXpfdZYCwVlvfEi/0kXudradkIpgLbSChJ7Fifo6CF/AkrLq0rDoGQ%20nAdKvn+UPg6a4JwIds2bk3wTOUhsX+JeRynap7fyHHeE3gamKbc260khknFsDiyeQLw7X0v+5vB+%20nujSWdHzonMWc6ldZljFGxNRvB2sWN8DSSosijvDoT1wVxJk33o62PiunVdDsXs1fHz36XyQJ2ey%20TKMNy6UQeaaMtIT86+nb0I5keFBRmpNoRgFMsvzL9BWJEZMrAWspSrqVo5Lv99I2lFEFW6qYdE5x%20ZxkvMJN9JzcULqPgHDJcokcOGUP1+sZH5xiJQtqKIV4nGA4dj4MGFvKZJ/VmjrEDaWG36N3yUZKk%20JzK1+cjhXDzyWUMXaO7E5+mHExl+MDrlv/7Tf7azN9rz//k//D/iNB7sIFdKXouHCxlwe3BfmEzJ%20Z51KsyF8cb2ME+ilFaaey+kOiPkTWNIMw7uzl5w0DZV4wsq1JddbC1D6odmV4SDfkkg2ESKjQ2fe%20FAN0Bp6PjZb1BVnC4hmrToeeKrQpMZ5yWg2VpilBvb9sOiXg75RVizZyMbgSZSypUm93o8A59EKj%20djFbHmNeI6z4TJPlbM6t2XTZ/ymESJPqCCahfS39Dt4KKC5jT6G+H4/0eMjfYIyjWQDh5P2PPNjG%206bCpI9lQpckrC+s+PcC7Ef6BP1JIgbmQBUBBam/T9N6YQgE9ZHVLyjUTph3PAXDoKNijgVmafYbP%20baGg9fGMPNlOxs4afRpFRJGCAbyOsNsY2fVP7/905+1tNhZrzbM+kMWneH75y2cn0ZFRVfDDwgDb%20uklIuI7PB3MwVgyBwgDYEz43xcjDOBsYhrr1Wvgo6EMrvlKbIvVTrafsegaZto1jDMBALCCGhMFZ%20pw8DO1C+vJtyROUCsh+8LN6V6q+Z5o3ilj4S6ZkMG+UVuzd82sPpB/tQ1tF6e+978VQ/jzc71Vhh%20M2QveaH+fSxY5MFguaVHqi7sARpcUjKUsSreGjmyBrw4iv39HPyvQwi/I42BDt0V3qxS3FxPBRb4%205miu+/H7mTzyZka7f5kpDWmjgj+ugT+eqRCxBTOR6VMnLu68yoMLVkyhn0yXOc/dTmN7765SYph4%20tmSNLH3/d3+3jWEu/vznpTv955//51ST/bb7R1a+jsLcd2vOB49JGXTW+KXX04ox7RhBQS9rRJRE%20EY7tvgt65oZdE88KFXEv2mU2XxMhDa38XXg/ySsVntO9jxwwWuhRDz0UQ5B/o2MdizK8MZ+BYkkh%20iMBgpJqXS/4ygKrozsa7IxdofUmVd01AdJR+e+puyetpqoRaitc+/UZ8637McGKimJXoDH8aeEV1%206x4TTeoBT92BYeUYVZw8CrXjtfD2KdAYdI4cWEiEoacxuelYJj1bYMaRN/swjuG5wFQ6EwaW0YBe%20i82ca3L1dlpdXsxknVv1OY6SPqFTX/RGbrgjzH4/RvPhsI/+4//+v+48+19+sfOjn3wvU1fC696d%20iDz3ej7O0zuvx1u+CpJNwUoUMhrGkdQrPPLgPYGynti5LU7MwZxfI85gw2vkGZ0p8QmaEMXQB5wl%20bCRoAFJE+x9DCpo3myZrC1fnoK32DlHQDotWi9O9vwY9P/MiHhLveEqCx/1mbd0IT05YQqHZAIK8%20KrlazZcNXgyEJl+EBVlclkC40xaFea+EACvJI/o4yrIHMji2xIiNnlLZC8GC36gV7liVhGz7Iozv%20y/BGAf3wBz+s16ILGxiDFX0muDTaGGjljVheAt6Fw8NFm8rfJfLgo6yX5wXEt+Iun6uEtVS5CKtB%20rcJ2eLgDAjaAFQtPlHNPH2P85+BGUXa3xSr/5Mc/TCVTkie5noPYJjX51kDklddCy4sD9ehDKSHH%20x8wzEPr2tshrKB4bK+PKatoUlpmn6mD6N+iI9+4/IRrFTFFiKrRQo/Q8+4qfPQnO9uyNYHhmfE8/%20s29tCB6vGt+EIW5V2VbwIiFKEU9numnARIEoiMC8UDos4QV6eSN0t0ImMbgVvBiCrx2e3M9K4rqH%204yZdxNu6oc2PZoRXw7jIXQfJ4pdnLd3fNHAP5Sz/SYDhML+ZCq7Hv/PtfD9TpQB75anvXP1854XQ%209fRx6NSwob9HHpSp5yBHljpnUMSGC57EIeaJ6EBFlshB8tm/9by+2fSJ5E4Op7RVnuBIYKPXAw9R%20CLzG4zHs7ySbjmZIJkxGOZd1uxiZKVMEcyae5H3plcsZee7FFwp/9fM9Z6CQPSq+oqx27ctZMFUd%20kym4rQjHmsvQg6DkN8qoyTVbAp91Vu2pjwZP+iG0z6wXdkqTb2Q8z877aqvSeM/1hAst8cRm7t9M%20I7fOYVBsezUKw3R2Qw+m3StF3XFMwmqfn/PTKtMkAZ0pPyMroAXPRn464QUMqsGYNqfkNte2/61I%20y3sUQTz+2BMtJb8nEerNrfo0ISX9m/Psb7z5RmltcOJbMXC0cEXTzL1hUOBLa8p1aH9gvSTTuJHv%20BgJ75830UUkkgVr5zLceSwVj+ji//GLghdxHZP/9RBe35fWS5OfTSP6TyMydR8GeYZykfPr8V5H7%20felxEsfskRSE7C1OjFF3Y5g86baH+ph1Uw5dKuvm5JSfnf+caWQD56UQJaio9NwpIFuR6sL96xlP%20lzPl1dM20QFeCT0vhK+CJJay0R7O4YEPVyizEN61SoyXJ4Sm0y8siBaBpN3i1lQbQ+J8PBTk8jav%20ibC10UwE6FC4hzztchbzXoJDwfImPwoGeCT9RO+/765ACUkYZkG+991M2d3a86Hb8HCFTA6Vtnnv%20pFxT7biFMW4dlqnUkkcH5o0TVoH3+aXbmKWnYxRaW5TK53lGi9fwKX+6p4/SSpD3I/lg0R1ihgc2%20dNO2AfDszyJEBg6agkCIeTeU1q370uPgviOBNI5lXYODqd4zrkbOP4rO62B1DhwMSgaZZ3fhsu5c%20w5O2nu3pGq0LJvj6a8mBYZO4x/Kl8xpd0BzQ4mPyAQ6N5k8+C+wQD48n4LXjpQY60VYT/UaWN0a0%20BRmNnDIvjLcNYsma6qlw0y0UqL7VKWT4EBVtknAONl7n9DDJd94DwuDRUe56BRDmOgESHw2ZZ76h%20myEDX+dgYhW4D4nKPfF6zkdJWg9Vb6hLkoWmXeyJR/NBRqC/HczT6CN1PKrTbol8P5ChAqq4JH/I%204l4yz5Dlno5kugnFY2ozHu7gkwd3Hnw6yiFFLO+lk5sDBif/xS9+0SQnzvtdYXK0dP9MFHYM6vnk%20IF5957WdF156MzmGL9Mr44Gdn/70d1OMkkKMnGJKWmh9RUMeOG+YGnBSI7fQpvan8k8l7Dm9MuKY%20iCxx150P2DGYZHjxvfUq5k8DscgLWJ+DvwqumfW7P7L/YOCQD5K3IEOUKbmiOC8w4G2Ag0s/LQm0%20p+QQKScmG2vSjms649olFF6LJzsGdjw7cuKazvLjoeeB/SibzprMt2QgZ+5cmovBjxn9yjeDmC0u%20rppzUznJ82igxPOM8HS2XG5q5744PqDLF1LafDwRwNcKv/IZICYl7yJlLRj2RkE+8MTDOw8H3lLF%20qmjK1ByK+eEwwK7k3z/72c+ytid3nknnO/twIrpDdHlpb9Y3Xn0rGwMZ7d8bo97zARpSYZnXGs/k%20JiPnPG8l1eNAzfrO9PXPp/9O1rQcdMyQnBnnihPl5+OkJGmfe2/bhVy3XGPJUKyy0ZejgK+NPNos%2094T3M73X7xqiRigcKB5GOaAR7B4oh5+U0AVzpKoU6hXztLEy8j5KR4gnrHRzFKqGJT/60Y927klm%20H32Jd+VSsCNVSsbZXMp9nDiub8X5esUywriy57PRf/e3f9N7FC6BAWTcQRETEl1sUs/hll2uAcjB%208AHlTqrUi2DyRtwbDFkTlU7zbROWqbwrDSZfFLBoQSLsSDxfxQXus01jsvQKR95NNlYG9pOPPm2C%20g0C370Xuh/f5T376RCkzQkNeII/emrgfa37T1/EmA3I26cFTzXoQfkpo3zbVYVvgXM0EaliZ77Ko%20S9lrFzhrL0zfaHyMp9fDYItD5nq+2o6z+4UgH6XISuV/ruFr+lT7U3KXh6AMZJjjy+hqoD1JzDEG%20NaQxHDLZ7UyWvbpWuJC11G7UWroGL6eNqHID5hBuH9pw9+b8U9jqp60Cy8sYdRVNe+NxXUwrTWGG%208tvXg5Me//SrtGNt3/O0Lt3ZeeDhe3d+L/igwa6fB/++ak6ZLLgWormHw8EAGQm9MSRSeYhPpYXr%20t/7wD3c+y2Tsv/7Ln6U446Uye2B/Ppuy3qNU+Ey8oKz1mTzjOx+8E0z8zXi/obXlof5Z+MH3gREk%20l2LxyWrnDsYJURjE037o/jRdj0ED89wCBjI2PsUHN0QZ3K37WD4TZGaIrgkSyqwpTNxldML//Nc/%20b0gsj/JiEt2giafTJwL1k+yvQ06OGvpjfkSuV39tsIPzXFpqHAK9oWHZcG8yTwljgni/89U2BLnG%205ZwL90H5OAdYEyIY/bHpCFAeOuIBkIkCpkRu77yVKS6RdZjzsVuO1ZFrn+7IAqX0N4F+OGAKy779%20zDM7D4flsj8O0r3xbHdn899WKBaldipn9+as5e0dXJyhsS9kb7J2v/c7P2kUeTz64vaM1Tqbhu9X%20MqfqcM7Ur9PI6blf/KaVqodjPHSIPJj72Bf5uhhO8OlESBQ9yh9H69Poj2NH9u388z/5o50//oPf%2027mQAQzvhjZ4Lp0E9wVaPJR9uSuwKaUKyhHtwLunx46hEYm0KFnnI/JB7kd2pynQHfHIKWOOLRYV%20HdthywSkHN2GoVufXlYhi7Wa4rRpUBbZBWX4izXGauHQtkMbrlz1wdZoaI7TpoynTLrdp2B1sbC8%20J9lRgobLiDqjM5LuYRIhNlkTaz0f/o+f/026Rb1Vi3Ln7QlRkrSh5JCrL5y/mkTZq82Y7srJ238g%20gh0l7xA/GPxShy1sgVXvz9u4lIpCykiIfyELdoZyadn2GCRju82PG0U1npQkGuiiHikFiQLFOuNE%20B3aQNbbyT8fq3ho89Y1Uvb175e0pHV0Z1awxgj3uIeyXzsGGKFeXsqqiGxL66kmxlnAp3jFSM+Vk%20FdNMw5EhviuNBYUQgmnJOYp4tdb0i0IRflElPHG8a91YmtzWypEB8JJo7GVYV1P9KmL3kf8Ka+UD%20NOC+EZamyb9RTHkWr+ERtkXj3unn7Eu4eSX9XS9rMWkqSNZyT7zDUoByPd5HlQhr4d6TReHFKWuV%20HYdbSwJjYFyK1murxqyxqOjdtz+IwYtXHQeLV2xs1X3xim9XHh6Dl91sJKGxC4NzWKEKDy9emwkf%20F/Jm0cynOSA3p5fI3/z1z1LJ+MaUK1tzz6r1aA6XhBTuuKGq6J0vvPRqOLRaL+6ky9m3d74TGOXj%20KIYmOLfcC68QKijZI0HHgF/IWqNFXYlhORZmjGGnOvjVOcp5Eb7zKl8MNq3SSxJQAoyhg6/XWOa+%20WryQM/urv//7ZmzPR6acR5GVswdOAnt8nYpN/bXbrCtrgKKH2imPcN/G56YUB7K8WqroODqqcS9X%20nhkkESRu8cm8FvPpttz30TgYijqcD0VLyTB0D804vDdn0Rmyrc4jto/koPzIldzrq++9Uvwbnvzb%20eMLKn7UJuDUeqMrArwO1mSl4c57t9iSr8Yz/08//fufF51/f+W//3Z828v2Pf/UXMo4zAdpsusjH%20O7n/46G5HkzDpTuSYFSEdTmJXRivKsTPPk/OJ84gg/huCAMSd3IFj8aQPhBP+2FN36/em3aocQZP%20aAuadqGFXzK7sXzumRiPUSOZVwday4iWYU+eqVFB9sh6ot6JhBeSULpqcfLAZ5SrH3jDwo1tMGXc%20jd4ObgslfJgPjfKS7DFZ4WKU17THnERg/fs6RjqPTVhSjrD5eRoRSeCFYiRj/nS6WcGjfAZo4P3g%20whILlOb7SRDCB09E2aFIHcqssvvuvb0HHa2qFuyTjN8JTHvgwL5QyB5MAume4oduANuC4BR/gpd2%20sYQEmVtWj3eatysyYJVs4MEo7hvTCxXeLbTwxRO4mk1VOTgTL24onEExfpCmMG8EBnHvwr2PQjH6%208Y/uL/b8fHi6NgDx3eL7vFq/HBqjcNoGMUtmgu/RVgHpRwynG4V4/deKXAY6oOh6AvOYlKLFnq54%20LKLERz3cLRmrZn4U8ijGhV0Xt9xe61lk6/3X6IZHnPfZcz6w/40wCdE2j5iupvQlI4LRmxhz+XIy%206DFcneJCQaSyaXcUomcSBejcJbTF5dSsZV/aFcI04Yau09LcGpNv8g28LCZjDXHddSV5iyi5E2f+%20LkndO3fuDaNDlOQAoMnBiu84lmkMgQ6ORrlpCYm6dilN5s0gTM1lSqKzj3n+DiBItCTZ4hqMJOX1%20y7/7Lzs//9lf1sPV6Q7ftd0NVKdGYWtzCUs+GqqkZje/+nWq604nuRZk7dvfuWvnBz94ql72yRQP%20DASSAhh5iMjUB0kw3pozcXuSXwdyDvQp6RDdvPZAsONHUpqLiUKmJNyU0M4Q3M+DoSanEiWIQWMN%20JOIYBooda0UUKNciElHI477JTvu6bH2TOReonLxWaw52ge2KHEEHchYdMhFcd0FH9IN/O0ftAJez%20xUF5LedVnxnUTxzwPTFUj6ZH9ANRZOTzXJhL1hPl7HTWzXgnMuOMcxo0gyrPFrySqsrbUpkrKW7a%20x6svpwdxIEfJTRV6xnA1Ga/Be/btFzFOz//qxRSsPLpz9+1Hd/7qz3+289mHn+X8PVO2xbmvokfi%20rB0Ko+GBJNhuimCcCTypktg4pr0aSUXmjUqyp+ZQvvXF2zUW9+X5NHdyD1+kAOmO25KgjUcMyjwR%20OOvTUA0lxb/MPvZcQAk4b/oTo+XlM7i1+pJgx6DjgWREHeTikyRxVwEN0gEP2VTwTOoZeGFp7lVt%20tBRAPaf8HiHapvBQbZwTrh0ihctTKT+ZdwZz5OE4qDmEsrn6FginLhhNctutLYL4dpIiKsNeDen/%20VR2mYCgaZyekgeWxmFrS/fEf/VFpR4RRA+hPo4hVExnLc/Rowrhjh9rZSk9bf6IJrU5rLD7BpAg9%20j7/zojtCKWWRJAPVR23+7tsSRjfRFpZHhAhW3oq+vI8XTlmfay+KKJtYRYdTcpCQOzTuVxHLK9nA%20xx99vAyUNk+BtdbTnCnS1q2rk3WiEBkM3FxY78LtF167mTdsnQl5NmU8kfwkW8fb9ae/zCToxWes%20oo50UcwzOXjoahJHGpjjWo5nHTWcexvwYcrFXTQ+9Ize0ggK9LF55WMoKOuBKS5UiUo0wpJdc2uj%20yju+ZCqMX/k8lWsmUhghZYBjEjLgKx5jPCkl3M3C+7yFmzDqeS57ip2gsu6CyCYGe08UDgzRPYBz%20RGeZzJ6Q/s6dR1OJdUsYJmiKZprcGFrF7vRIUUU1IXuYIAbqkm17FIxRI3iG4WQO7ckvzrSBlsjR%20eNazpt3Ew7R2qj4P5n0aH/3sZ7+MkkzbRxS6QNF33K4J/6kyggzG/dnP/rretfAU9v7T3/3JzhMP%20h+KW96P8nYn8kAVeq0Tc3iRSee0U8Jfxlv7u7/6uUag1UYQBm1QqbpyWfE9LjjtuKayWNrma2W13%20xFDh8nI4VHtyCDBWyDPFwAiCB2wixwrjwbd1X1Vi7b+95ZQ6bDSvpQN4rqA5vWFuT4GR+oHbQjMV%20ir2bhOZpSe5g6hgl9h6suNsA3SyQRDrPn9fp3HzljGZP1BjccVvm5qWJ1SefHpwG7LmZ1gTkrKLA%20iYouX0o/msA+n6SXxcMP3paZg99qgc+J5H3+6A9/N+1WH9v53//jX4Z1wgVPziBrfjC9Ilahyi2J%20ZnfFqbiU5v1n8LCTDzgbndEOfhE7xTt6lxzIWSE3n36eqrnzp3d+mMq9W/K8H2Udvc69dEQYHH6D%20BbkpC9Jk1GR2UGUfT8T8QHQeiIYyxjW3xnQE+fIagwp2ebBOXtWjmOdX72w7hDwc3rAQWlOg4pEz%20Z6xWMwsm6WHzKZqVAa9SEQpl8yyiqcCm+r4dMrWeEnAqNLZ3M6sKf7YHOw+lKY5Dd0e8AbjRd6Kw%20eS2/+fkLgSrSnvCjNEa5qq+ByqCQwTVuRgOLMOrMxhJRboyB8AsEgDs5SnlG1E/zfDjsaDFhJm/a%20M6I9+QLDyGB7PT5mUi+ttuJ5sHI89xLUI2Syteu6wi4VUJqOIIPLNAsn67VG+V370gGqnuu0Iu1A%20U1BRva/xapu0KlY7QmWNGtInnGW4fHf6B3goa1dneSnmvJZ3KnTqnLLCRDPSBweTl1GFBA5gPCv2%204/XysgFP3yhDawYH2eSA59zrw3L1AM5eq0RrdKQEWC8Jw0YXJUnZZyPnesIHwgM+dOBwo6TFxIFF%20wl51nWsZfg7G1+FF+buQGDuAN3M4CVgCLtkEJ2YErqimzOulka9qIJ77wtrZx5uNh6J5kBaeV+Ol%20xwTEeMYom8sY3iwjzVDCkHX+AomcSAXhnanqO5pwu83Ec3D2BhY4l2spNJG8E4oLdX/5yxcCUWEc%20mdG3a+cnv/tIZD1l7Lnfn4YG96u0Gngzcn5XFPFTmRLyUM7At2KoGaK/Dd5rDBJLq4cEb4zScv8G%205dYBQolUMJC1hS13yO/WA4V3m9NVyKn4qzMpUatpld4JCe9Vs0msdmxaZKBd1/Kz81mvC9hBvLGs%20kygCzuks4ZULrSmKJqV7bqLAc64WbDm2nwHL9exB7oTyvz0889eCrX6c64b9nerTB+MwJZrNfd2V%209T2cHIuIVtLtSM44Q3k2+LcSabDhVCrOmKWdUNUodwnB8zE8N2QQ8sWckxNfZuwV6mM+8/tRkI8E%20ytB4/k//+A87Okru54P3eK474ZEHEjyUwovoEAKNnliKnslCmBgRTMYAg4X/cMteWHS84Fvxhg0a%20vXXnqScfCmTxQKCuQymBfrfsiaNZryYsdfWL4Zl1EUE7wbM2qKqSm6AWlYm+6DevL9uJg5EzfDjv%200fWwzeWFgbwe3i5t7s/VTW0pj2nvlwNtdlo9vBk/XnJ3q7umx8Qqp25VUDZvedzlEzcEMoww4UA2%207K0A+jxLHEOl1aw3XPDQpUMVTCWaek/8+je/3vnr//yLQBOam0jeaDQUTm+8KKEBJTqhVaYLx/tG%202/I1TeSjPPWv2BJx+vuy8O1mFakHORDkSVQNRcoX71g5qDB2X2AEtfI1WA2/40EpCskh9qdv+NlK%20UgmFMSjqUWyJNTXy1OV8Cg/TZ8oi+9lMbeAMLlxWYx46D8bcpudb2K95Pe8FN1YSUgi4DsZNFD6F%20zMMtLpFPigG9NtMunulN8QY3camurVod6Smmu5Jncx88+omYejmK3zWLpY8nh0c6o36KS22fz9Ee%20ytp4+j5njIzeCrvzrAbc7pesKi45zfJR7Xqwt6EFUZW57uVWnymYGVzyjnZ5073rQvbXoZTa+zyv%20ORVZupIya8UdsKsrWR9JmVOZLn7+DCzeLeUApQfGTbnfx7ThzN6qAHMGOBUmTLyfpN2peD8+78ip%20Yy3guSig0YEwEcyj8XLuC6daX+W3303yMM936NANO//iX/xo59/823/RkV96PPw23fD+3//+3+88%20GgXzB3/whzXacMr3Ivc/j7cMm+Ypm+lXfF1/4CSdGFTVc02amwMoCs06DSc/EUHuY0ZwTTly4aps%20EIXrHDwZjPN3f/pP2tHsueefK//5kZTkU3LtMAbiC3W0cp/vzhXUbyOKmFIRzfmTMma8QRa8anLQ%20hH2+JexgV19oGB8sF4uje5lbcW5P52dvx0O+GIL3kfQZ5hSAqFAgMaZOKVoyySUwTeUz9/1ePF0M%20jIcffLgJUnrG+ecamAJvjbwO3Ikmd06SLLKoQOy0GW2jAACwsUlEQVTpDBRQNfdaErgGvWKnpKVH%20jGD6w8Rpk1RvVXCe8Ss9o7dIotG/eZNZ56tRg7tDgdyflgk3J0qCI58+EWN+j37SCp0+6CTrm/Os%20Jt0UWk0ewsTqsqGy3h26EVmuAYMY5H36Z8DdP2mx1kA9zr77kTTFS3Yf9OWu5Ul6UJugGkuCoFxB%20IaHEU+70FlnBeBiUjE1qNnXjjwpdrjEu8r42ttkqvlyHC676piB1FA0vmBLDMuik1XInZ8IEBaGN%205svhc8L77kzIgKT9y3Tb2nVTWt8FH2IwJvu+YZn5DOwM7euMWyGcK5Ps88EoN94MX9PoXMl3ltdo%20IyKVzy2ulveX8rO9t54iZS+hhjMNhqnCGWVMMfKMeXWeq/cEkza1mdsoZBdqYUHUm+QdDt2snq8z%205HLq4pvVyFvg04B/zZWyiXB8n8U7tDbtwJVpGGcy7sX1YdnXEmyDY+Tu9HHVSP/O4m0E4MMIOqME%2025I0LJ6fz3Tt8bYn02utqlgLgagQnJmBmqdYbi0uefKek4Gy5jd97YDi14/xq4eGcaIHrKRRKVQ6%20iWUd076SnFzDxN2v5Gk+sR4eGYiXqoeI9+mk5vCLvEBdbbgSY2v9vkxYqvrsvnBTX4x8fZJQlbG5%20PV27jkR+b0LpQ2+yh33e8UZ89oVM9bZfZM8AXv1yP8hBuyHKVvitHPdirnVHQu+bT2USxMkvAnHc%202ErKx4KJvvv+Ozu//M0bUW5Xs847YQI9svOv/us/3fnxj3+nhurD8KD/8s//vLPPHg/UBuY6mc95%209pe/ykSQzEbLnhxLR8HD8V6dE/ABg80LpowpX2EzuYEzOi9zPqMQc4+gHJEH+GiN4OKxM7T6xKB0%20OssULGqY0VE6panw/E0ocB/qMrh5Z6IQyqRDJfK5He6a95GRVZywBiv4PaPQyRjK3OMh3pNzQAmL%20GlSv3fXgvTt3n7tr55W0cP1NxmKdiDGTrBfWHw1Orqbg1kz6NrnkvRiFaKedW8NouePrO3p2hfC7%204sXvC8ebM6Gz22I0eabVT4ZciJg0Qhq4LPopUSCq6+OPPrHz7y//h8JwMHuNmDwLPeUMKCmvYlfa%20HRlFkaSMG/kb0RZMl1NgLuNbb76a4bIfRH4lklN5qDjpwpFxwpqU3/q7q2hklC7HoXPeq1My0zPG%20XpTOkase2L5vzH14Nv2r7T+DuGuaaDiECacjqB3DHlzYZpxFCM8mX+1JzEE5Ny0nO9V5SzgthUzZ%20TDOZSRJRJO1xDNNyIw25t7K/WAZ1+buiJG0069uy6HwpuXQNFsfvJBj/6T/9/YQgd8bbyJgcArsS%20XDxO1o3uc+B4YNLZhJQ3ycvIYeyY7CwUgaBcvN3vFi6uZp+HsJoaoZtRsEPTmWRPZ4fRmdtUBgpJ%20Qk7VHiFRxt2wzkES/vPQ6nX2sa65odW/G11uklyjjBbO7qXoMqymSOJY+Kj40YyP9dRdrBDLdhg3%20Pd9NHpbFQAImfDwdrizPWgNzyZ8P0irRCCUJV52lJNPgh766Nk3azkw8YStcsg33Ix9NBNaIFUwe%20BarnQg4lOAb+eDZY/DEJnngOMOjV5Y4nfzJJL+FqWRMb40NtPuvE8CmwuTWj0YEml6MI9QCwlRrp%20/+jHP2r3MnkCBRWMFgojz87h+1gzmijUB+9Om9AY+DszdeFr8FD2CCQVG1LvZvY7HnWe/W9/9Yvw%20fA/XyH6dAKPThtOh7kZ9ZlMg8WWe/dBNafcY7HPvnYFKNAOKUnkrk1j+h//hf42iSSOjeF8PZ27a%20t595uhMwYL448a++mllxWdujec/HmovHSZCoUzREMR+NtyyScfib+PEnOaBwyYZQOs/Zyr8oL+fR%20vl8VzcEn80y6IxbKUGwQ44HrfHuMhzP8fLq+lTKazxUCc4SezIADDYRMZ/ZZGANLyS5IhHx5zk41%203yLg5Q07d7w/RlObAAlAsANcWitITZA+SFSx52CS1LjEkZUPPs7P8n01z0hx3nn74UTCD7ZLnMGi%20Ovh9mKksX2uToIdMmAZyUh/GC/Xc4EyJNzro+PE0ks+ed7qIPEieXdSh4Ok//fl/6tiyH4ceC4p4%20O9e8J3CRitNjMeISnhy1LzkL9JQClyjPDr1gxKKMIXPobrcm4QyXp4jvu/fB/Nsk7MBEYQtJ0mPc%20TDuAJF+zJsWGi6hMQyDOEbnsgOCss2iQDqkDa49BGKDCLV/j3HOIKZddKClCl5M5dLQzbc1D4Dmw%20TjCl9tCNpwYqcJBX9QhcyiGWYXXBfmAWaTVj93cKGkjtQykFDZzbcT//vpyHcTBZLA/zaLwIi7k2%20Xr/W18Pd/Bf/4k93/tW//jc7z3znu01omLuFWtQ5XrDVhlA8hklETfg9GmNa1A2c4WusrN8HU81G%20r45TffZszMLoFrOkfWDzXBRVPfd81rSH9BxTeWg9JkGIj52LUzb5swZynOLeSxVujebWiGXbnLnX%20UXakBVzj3njyWlK+/Xbmo22cb9fo5/lP+LY9lwIO3ttY5JT6JikKE9QECG6F6qelJiy83o12hjk8%201r49PJLBZmhgYkeO3Zf3PNBDKzT7MDgfxXyzggtucCliYZXEY92dJBnFfGsOTieehGVwt8b+wVUx%20ZRgsof7bydprziTEVk0oyWNtjGXHTgBFtBEPbloWSbjPuMoNUJoGV55M9h6NDKsDKwe88XmeQ9MW%20/QIOpRAE08WBvrkhdVgc2SdrYlajJuPW7qEMwtRz4ot4vLeEk6r95cG9d9bbxzDZr4Og3AMGSjL5%20Dxy+p3P7nkuz/v/wP/08c/U+TnL50M5/829/moOeZuQMV7vtZZxXvD15AsqEsjmesF8BEbncx+ML%205t8ydTKYzyr9KZDKZYaqAjrtOiVbKSyJzdPZR85Se27L3Oc5msPJnp+nYHKw788e60hHMVKQpsq8%20/U5on/Xe9G/4sF49SFB/lWe/eK6wHmdMhOrckYPi98Lm7FsVhyg3sreiX8bbvt5sX7OGEqqSt19F%20PnTau0HLyBRlkbnzhZzigJ29HMYFCmj624SN0M6NUcgMpx7Bn6VARcOtuyMD1u/4l5+2utEzug+K%20S8RyIgbpWM6FQRcMySeffNRxYRodyRtgnmiOz1j8MC1Beb0GTHyW+oP30vjfOhzJc4JunBvGyr5G%20LPmacRAZjBRiRVbAOodyHdAGudkTZSxKsbfWyDkszJNIjZcM6pjOjiI/ZxfJYaLhOqhZyyv5fDoE%20JZK+6ZzAfN9zV7x3veRVAX0Si63TFQHX31frRv0A9t2oekdfiRCa4z4QEsqnTcXRY/JQK8lAjspX%20LHYCjpimPd7Da7IpkmB+DjMU+tpoygFOZXFX72HX8u9pK/lVp9ISIAk9iv2v/uqveigdgCt5cAt+%20ZzwTYYlEwIwryviYbUJGk2SSN5d5oauIwsHk8U5fDXjaKOIB4qfL0iSpCKVn8rWw8VG+IetHWBgS%20n1msKF7k+Dq1CPMervv6oo+3TRqPOEq12MV4iLS2Q8ZYCB1tfCk9m6GjTNzLoqq5jzJZRt9XSRKY%20jzKh2BRe2KDo4qE03vEnfjSvF4xxNErOfsk0f5KWgh+m1WSLPfKeNeXiwXimsOm34/ERKKOUbk6z%20dlOeb8jMMGNvJE1mTuHBIbNHyV+IZ3urkfFtyH3Pzh/9y3+ZvEFcUEmZKOfT2Z/X0rfBtAv0H82Y%20SpGMAn06YfV9KQDCepFQ+m2KLh5LAx9rT1Z4mKoBRUHKZTUV+p1MKDYx3FSN00nY3JmDTfGDJOyj%20sevW2t5od/rkM0+1AESWX/JOuPiVqCvP3ikj2YOZWxcnIsbiuWefSzOd13NPZ3b+5E8f3/mzf/tP%20k8n/cUPzltpLonEEJBBzOJ968qmdU3edjELMTEPKOcZCH4aTCc/1392nT7MknD4PWdfKmWRq9zaF%20FBqWx6sTzUhw0d6XfEfx7QqIDU06cy7RTYzXMzkXpmiAoD5Vjps/H4+yA1eJfsglappzRF6dJVBk%20DXau7dzynFdXOq8nYwu+up7mSt5AIkB4UE5lngGLp7j3wQzXTAIMS+qHufdHwmwgmO77tVfeSsj/%20btYoyiz7qqJRP5TvpHrvvsji11GcMHRDBk6EzYK693kchLvgv1H+GZtco4N5Q87cA0OudP373/tu%20vVIyaqr7w5GHZzIVpt32so8iId60knWVufI7cgAMrmd2dg6mm92hUGT33Rz9lGcAeZxNdH7qRCbK%207IkByGcqELN+YMO7s4bmFHIywGeStnQP48vb7oBmkOfmgAlmV+EcJ9J7/KnLncjlseD6u0x7xfnV%20gUsHKzSaJfQL2Bca8FwsAoUJVvCaVSzi4FJoDiKFtgZ2UnQ2rzfBkmRhJvGVevdwck0OEBI5sJRC%20h4RS/Bv+wrPZnzD9leDHrv+7yVD/4Ac/2PmzP/uzts9077Kzqu2+k5lwMEBZ1hLi8yzeh8PXrlXy%20L9kAlUEqqVgkHlQbPUegKPYmIwuz5JAm4VVIoRSb4V0vXH1BM+6TN0/ptycyxZgDiWbVwopNGS89%203F4SZVEM1t2hrVWig/3Wk87fsUBka238GnrKM/E5a22XNz4wzYzjEda3STVDWdglgrZ55gzbSs5Y%20104qidcp865n7xOZfCCl3IkX2+GFDbrFqT7kcSvTxjIJ3/ZCeJZpNq+d6aefpK9IoiuVjt9Ovwjj%20hXivmkm9nbD+jeCHRiYd1dMj6/tVPJxXAznhVn5XxVj2TR8REBlM9MGUIR+Ix6mqiXdkkCPj2h7M%20Kr1U9kUpOlTPpfLMRApMBZVtStKvgpLyHBrKC+fND5A8aj+D7Pnrr7+SzntnAuM8lYTc4w2rP4jS%20d0BV2gmZGR4Kq4UKZ0Vtj+1855nvFPZgyPT/7UTnvJdXyTNSsSlSPHtWk6Hcexbfmiju4ChgVai6%20ezO9E/CByaPJOW34nv3Gv6WI7wyEd+fddxb2ERLDgb0OI+JAjGnxxXzuucg4S84TMw9Ryb5cC8X7%2009/9aTDsHw9mKfIsPDfNl8hVk3qRAd67/Sb3zoDzQKY4Acvwu96qQxApO+OKGmC7HDLNifZlrbB0%20diUJenMM9p7cp1yTKE9CXMl0nbUYIsZCj3IUMwr3SJyDAznD9u+2K7eX+srYK0OWO3FmHzz0YBuG%20kT+fyfuVW0J1fUML0hxW3ixFqFp32rvCmCndWzKr7g/av0R/FVASCMP4qvtTFNQWvfFWNbpS1GOQ%20AznTj+aLL01z1z43NL0ofBCG+3ksbK8W2aREnsF76slv1dkRsYuQQCFcMMajLQ1y5t5LBLDa6La/%20RvaDJ38SxJOzuouVZBVt8KOPPtwbo8S0L/RiP+eNwkTbXjIXoSBo8+nvMIkfC+3BKVZCeH0Z9fIs%20JyM7NC6eKDaF63vwRfdYinhZY8qHgLif1WP5J1HK/+a/+3eZDHzPzt/8Hz/rqBgLdDQYFmKE4YsP%20PvJAplU8kk5f77UVJ4iEmdabwvM4DG+88XYWB+Aehw1eCoMDY6CKDQY/tC/JpVLZpjjDPXkm1Bd8%200uVZWwv3TSEWFJG5oiw3bRz93sMG1G3PWZ/Z16jamWKHVQkJpmAkeYzWHDQCn7ZuC4NfuN6Gy/Q6%20/ez2DU7znw3C2bCRep4aCeHXUkqGlmIkINrDE28LNr2mbVOQMr0OnSkJFPgryVa/l1aVh9Ik/kyK%20fd5JLwidx1wfTcfUFx6LfhLmuikoMBdOtdKvfvH3Dd3d5AcffdaZZ48+9sjOP/2j/1srtxxa+DNF%200e54Xya8TmiqM1+VY/aFEp4m+TNNV4Lw9RxEjZlSnVEapKbwj0SOUaZuNaw0+81T/jSGZTXOv3zh%2061SPvVZj8FkayIBWcIcVLhy6OdVliRTO5N8OFLiE10OZC881VeLt1EClVvtiyvMv5tk7LzIKRD8H%20n6loo+Fp7vWF5zNr8IVXylP+kz9NtVjyD3/1V3/ZM0RWq4zzrIQNV/7+QEQHwnH+MGvNY78xh1kv%20C84Gh4j84VxzGvZEAUrSVo7yJWmrNwsvkPflm7e9uPdNYGZ9GREK+SfpaJaLlOJ1PGv0bhSVfWf8%20nWkOkvsUtSnqKLyYZ9LbgWwI+fWeuEE/8cjUbvf5wH079+YZ8LNxx0EAqlXvC6Ok50fFWfbucmTx%20crD6T6LgvsyZ0GtYvgdNToEFhgQnSkHG51G6pprQQQ8lWsP24Bi+/NsXa/SxTPTv8H4eK0qrFUEY%20kD85moISEA6FPJVzYMasd5TwDU8GnsseM7CMLVn3OVejnN9+5832KpYEdA6VdqM73vy3f1t9MY5Y%20KvLiTOISW3fDNQqPMoCuZXafZKQ+MFnfpT84RPSD6FJPjV3/9t/+2yikQAHxVFgSG/472SD4Uq1j%20BEE29r5UyEiy8KKuT9K5sQVD2GjK2IOsct3pDBYLtzXLkADCB8bFbZiujy3mQB6oM882njM+oM+h%20OBde6140LaI4fxLLD7a4kHv8LNQm96FxB4WCXI2Wxiv67ve/t/PDNGxxj28nzGQVWdTbMx/OGEq9%20WGHYEnTutWGXsLYFDpSnA4VGtNP+q+0foY8Atsg29FHDbQqJBzC8z8AhqHUOme5o5c1G0RYShvPm%201YobNvZGFfBkFAtP2HTW3HrySFbpJA+MV+ZnMMF68JsR4dms+yp1phl3DV1k4acjXxOGWcMDu6f1%205K5kthwuHcUcvFdeTUMlYWwO06OZbPBwvvdqxhIB/VbW7141/qksxKV+L9WHBtGuBuCgD9LfIp7w%20c+3p6VxX+02KS1JKIxnJprfeMXzy652Hcm+/fvY3O5/+eYbcRpgNvuWpM6p3pXBDAQYD5VrjnaWh%20vJl1ee3HGaWOXWJ6hK58vBEJForoW5FXn4fBcSRKTe+Av/3PP2+0tG+3MDPZ/c6Gm3D5joTbqJLi%20E+OzTufw44gaAWYfFRxRePbERA4HXvSDdnYiB+mDGHyZ+f2JNBRfSP4oWGLwDQEwygqVM3FWRrs/%20HiP0eJW1CrbCYbkuxs/+/CmJJeqjrMilSd6ihvvuy6ip7P2B4NnWg4LEntgTWZEUvCEKF758a5J4%20Ir+roAZcbuYvv+OxrY5hzrXz0F4TucbhNMUXet8VDPfxRCqnOUpRzJyyVeyx2iNQ+BgMPotBd1i0%20zNXc/6VX8oypxLznoTt2Hnj0oazxvt675OZKDusaN3TGQAXyKmHhBNguk8YziCBABGDHxzLFR3RE%20f7wfOaUjdIz0PJwsVbpvKtc2eYQuibGGvNNjVwKTSdwdSEWtfdYJkg67LTMR70lOQy6hXRZBkHk9%20+Onz9CfBkuo8R15rlPuuXY8Ws/ZvSUDrRP7eioyLRq0p50oUKZnIUV2TcShbTiLohX55IntfXZbr%20OcuudSrv0Rb1szA2dlE++kMIt3leXmSkuBANxvSepubBkLEfWPTFZAD8t8VkFsnNu3AxJh5fe6LK%20WGYsfW5WmEYpzaDRLIBary2p5lD6uTCaIhb6SXj4olwWZisUV7uufFmzH9UzDwUnk7m/lATIG9kU%20IL2R6ARoQtlzxYW+l/E8woq7s7mHfvGrDKX8VQ7oh7W+T/KooojG09ruLUpl9Yjg4VM4DoFm2sjc%20MLEDUcoWH34pfPKzYult7JOQfksGugdJDl4DOKSjVppckj1HyZu6dJ42Bep+4VMHEur5bLS0xfaQ%20/b372D2dCMKoKEXlvfMAZjhAjFAEuU5SjJx6+1ION0/ewW+ysL9HPxvGiFJomBo6z+kY5s/CvHg3%20/TYefCtN6+9Om8F8npL0H/3eT3cee+rbO3/xv/15xqmni91l5aXh6Kq0TKILZlqSfgVUT4J45+qT%20o3SPxTPRapFBpYxks3nhbyZqkSD0d96xpjzW6pn0duC1XbpiWvVMIWaA8LJNGzlwwGSHGc5pTbEH%20bosSBlmJPgy0VBBCfvBiv5Pk5dH3pwczo5ih5vVsQFOt/MuB0Q/l7PmUGdtjpbp5CI3gX1MWG090%20CiCCCWedj8TbQe06F+WrSZEDKEy+cMPMSaMgeLZvRwnz2B7LEEyJSzMnH8/z//T3fq/MAErVuDEF%20C52BF8bIVyoANy+fc6RVqdc+8aMfxjjervPOziVlt6DC7KM2rpcllHPQz5raLAeTc3RezkGhCphu%20Y0esKNWfZEPEWY6zRLuJMomSTbPBiRZ2m7yyeLReT8ZEK6cTXZ2Mx8ioYwu8+NKLiZYiC8fSh+KR%20+5oH0cnuo0RPYaR2EISEn2ZhFJQhn5wX3feOpun/nsiJ6RwmksB+3899fS9YMPgAU4KS842zW+ZO%20rmWdRY4a7ltb3vKTwcoLoeZeRymmfmIr5ro9n3P/fQ+0yZNoSV8N0e7hyKkkKp1GLx2ILJ9Kf+vX%20XnuliMBjjz7TKO39PAtoh4MoQrV3IjbRhzFnHDHnsJ3yIlt03uUz0wip5yRr+q2sLwgMVdMh4Qgb%203uCZd/37/9e/7wfKqN537/0tidV+T9d+GJbw4rNMlDhxPAfBYVOTnYt/Gi4exSg8uC/dpLjxlLVF%20kvDwp9f5+2qWwRvWnV8oZxMk9HiPFBDvD9gOY+PZKS8mkG34ng2nEJlhHqamMB8lafSdGA10lo5o%20Cub31ZZxBklMWCYR8clQXcLC+NHv/G4wwieDTd2y84s0mZawBAXwNj/K++sBpcKnwquJTQ42ZSWR%209EV+91HWxeGGdd8eIUH5wnuVBK2RiLIw0YFiVtJqyKZnF8Lzxksl4n1nY3kIQ/uLQsTAaOJQ0iSJ%20zzZjmZHwVewxLLcm/MMioUzsjSnB2AnHsy/FEFWkaQ6zQSyd0LA1gGHYmuSDZ0ty5huUwEtVHg3a%20kb3n+WkQznN5PyyKN9MZTJQBW7NnTyUSeTJr/k//2R9Hge3f+dWvng0m/G4J/ZS5xO+TYSoQRtVG%20neyQA9fxThFEjbZNJekk6sjNc+GhPp9vScL/9t/9N41k/sP//B9qmB/OIbs7hkBPW411OAM33SCJ%20HAZF8OO7EtnowlcaXhQEZXJvvEfG77kkd3E3GRejto7lsPC47Q1cXOLps/Q8+UIyTQN3HffQ7LIQ%207XmcM6BfhDU8EDmVINZUhsLHQvkie/ll/q6X9m3xlP0pjOfN3qqXQu6JcqBs4MSeXVMs+y+aMpbr%200TTCMSla9RgFd1+UBHn4VaCgF4KDW7PHEpnoO/yLX/8qfZPf27kaSEIE8lHkn0dfzjalt1Gs7DPZ%20de4oyQ5XaPQ5xp5CnvFqM+oHFMGYkb9Pcg0Vhz//2c86xfy7YS55/3K+vK/zDBN5mLhzMq1LNYfH%20igHxyBM8EtjpCPmP4hXpUUbaj/LkRRR3iwYj534uENxzOPBiCqDauChnQo8N58i3EmkQhF7RIiDX%20oB8ka0sSULOwTXdukizPp4/5dAbcWgXUXU5yLkVinCtWWIKtUVBgA/ko/OF7U3Epkhc91HmCvSex%20/GoSzHIA8gWiUD9neESui4NNHr3GHoOY7C8d1SZQ0WnkyfAC+3wgeTJOB6x5ERa0+DU1SJSB8NNJ%20vx+nnJhnYuM8GI8B1uHhqlB0d9JkXXisBn6jbEgqfBSKydtvvl1P001Taiu8bsiQ1wtLhM2f3/BZ%20vW1z4VDj4GVm1VG0aDjChBYrNLyN4on34bPQVAgdfOXMV0mc5IHei/emo5dMO6/CIFGKiRLYe3M6%20uUVBAfop2l/HI373zXfSZ/aZhoLfSThmgRwuXxTIt7/99LU+oyyrayk/ZrmMdKd8rZfyyRBv6rnr%20pYEiRLH1/nJIS5zPukitt9qPF5zPMC2alypkMtPtkfsf7bh0z4ZbLPl0IpQeSVSh1U03JTu9VTLy%204niVvONJaI6ivyX0w6fSbpABMHtMcxXPK4TCrLgio9vigBFYRSGKVy7qgpV70l/g5hzyO8LNZVQY%20AV6u8Fu/3GKjucZnOVSnY9BEAg889Gj65t4fFkL6ggSWwGttTxOQTPaQN8eYtjVoDDpIZ7irSd5F%20oCWKGKgP02DGXuvQ9egjj/a57c2PQ0t6+OFMdMkk7JMxNtoq3rInSd98Hq/bFO90Iq/skFmeiXUa%207q2y68xWjEwVS72aRFi7ZE3vWR4JBXQHnrtJwKfTBhHNLjKGG4uHranNnQnddf7iPPwkkZV9ViFm%20BJHhBm+FdunvRmTeFkdEsYZ91BtXwsw5sM4gg5m0HGelUIhy57SOzTo6YyIsbJI3M/bI3v11ciBG%20cz2d4QhnYoxeyoDbF154K2fn7Z2//tnzOcjYLtMF7+Y04lDtJ+9D5tYUZ0qFMtfQB1eZNyrcfzO9%20nsnnGo8mDyFhhf7Y4ac54+W9RuHDijGWKGweJvjHvWvkBNpgFPabu6jJmDOZNZTA8yxnExHA21Ef%20DzFiwYVPRX5cV/tPSXVJr2OKQbIHogtwSjs/bhWYApca9HqvkxBvrww9IVqYBEpMJD6eRpW7CJcj%202YkkJdy7YOhxkQefzVGZCrgZnlEYIrJZNpTOjFk3lDotGmZ+X7pI5vUqhrG+5LhE/Kp8MUGsMZiv%207UVjQC5kwAPH8trIqUYSMwv0YOASsIkp7ANdzplHFXw4cnGMA/fP/6t/Xk/ERrkBynOiWGOBpvv/%20ggoIE1igBgc+2lBjLIZ+pZgN3rfI5DxpD+6CJhfweF2LYrZwVXbh0mq+wqKwGsKm118d9oTDpeWc%20xT0uq81I5EBfjkU8EjxRgkaCyO/RWW5K1zVGoF5fvm+6acbT7M/P77rr3iZJWjIdBSvsW41WEOBr%20USNkPKlnnvl2n9scMXjYvUkU3n/X/dMoiTcSKyp0+yDPi4GCvQFWwAs2TJQVJy8aqN92h3A2ljn3%20ISnmcxwWG5EP6IZaG8pJ0onVvjuZdBMoXnnl5Wa/YfY2fVlka0OQ9MR9PIoMM+UrxRxZH54E7BLG%20at3rsXXNp01qp3TE078ha4jnqc0oLx8HFkSx5sDtNfFEEYLDkfXVTOW0kfH5863g7CZh3HPP/Tu/%20909+r4lSB+dEGjm1oU8svTE/OLW6W0lwmATFA3slHgdIq+NmskhKWT2fUFni5b7kJBiEdxLNgJ54%20IqZlfJqkn8TKNOhPPwhKWbY8h4nHZm1fTt5D2HdXeiTcGwV1Zzw0ncJeeS0j7GOgeXqNynKYKPZj%204aWCGk5Gfj8K5icC7PDOXPvzwx9nb/btfHH1+M6pvNae8oIYdwnDO49m9HquDS9+LQpzXyILzyVv%20wfi0jwQ8Mpiogo9DcT6U6eqQ9sXmvZaT3mR3oLzIFs+U14wKaGqF8FszLg7BxfPh96eR/4PpTPij%20dCa7J53IUN4+SjVdB/5mPSlfhkfl3zB7lN7f0Os9FGWqLcDpTGPBfIGPC51FRtbFn2SmCjzKl6NC%20ObmOBHppp1Hke5Kz6TihrK38CdgOJQ0+3n7E0RnaqYpWzuf+5W4053Huvsz6ioAvp1HU2eNx7NLB%20DpvgUM6nRArFeyYJ5UOp0BMdko+WYudeC+1JSDOazeEk6khEi+fzSWTPYF4VsRw+3TJ4wpwCfT/M%20DHw/z7a41CaN1NPO6/em5S3PdkWOnwUCtQ5Gg63G/NokgBjlIa7muqic9NdMzYneyBobkHE8fGby%20iiQALvQekTM0QdR55x3Rp1kLU1CungmHPmdkKxMog2bX6VOavYe7aI5WJuO2EXIsHEvgEAp3bDRF%20sIo7uHksHLyEUsAFHmpYaBy5zqksKHjBwaw6yOvLR9Y6UWJlG3X0jkMdZU5JGF2CmK74gCURmrBM%20vDuKH1bn2gfTMAbvj0fwTDxZWg/cIZyd0uQc/mbPlTRmYbaEoskMMEYKSojn0BZEz+GkgNGC3o4h%20GEM7HGkevCy5EHlvihumEdKU83q2IcgPTQ1l50KEDDVMqfXJU7LEXyexeCrWT4FE3p9DjkJ4rwQN%20znaMwPO/ebZepOfkDYsG4Ge3hiJUTDPCbi19hnsnIOh930tS8limI5yKMfiLv/irTDR5Z+e7wUVV%203T2eSIGXzFsHExFyCoxihaPyYu6OIv5WOt1NhHJrPuPtnXeezey4rWkPRX97So13xbNqOzKVRjLJ%20MX4vxTMHyfCerM1dOZiSTuagSba0eiqC1qb9ibheeuWlwDzHr7E7JGAwDlQxKQDQ1ezlvMb9WYu3%20Pn+zhx+OxxM6dyk0xJ3IKRlKROBweKaZD3e13rRBsLxVeQ5l+99Jg/jfC8atvNrrF7+WkaXAMAbk%20RfYnCtDzel9gF43M/fztNLBi3B757uP1XhkQMt2Couw9DrNnBMvBVt3/Z2GkgE94xTy5TuDW8yHv%20B1l8aHJL3ksBOzurtas/vcY502HsD/7gn+x8Jzit/InGWqCd3/kJRsCREEYeLSSnBNxzvJBBtSha%20KGCiKnirkmIQy6KbVoFG6Uiiwez9XVjM22MAKTjhvbwQmXc/9pXxppgZ/kVnLV+Dgs/zMWogC3sM%20gpthBhLHYVSlEZS8BsfM/YEX9CR5J5zsT0zJUfGS3yn0MJAWzGNtFOrEYg81dHPiZszYIiZNR8jW%20AuTgTZ/o0FijHFURc9xMAGnb1bzP/sC9GXDP4DnNirySe9EGE8f3cODIO+8YxtLZGCQ0ve999/vN%20fSniqA7La8jGjfmWKFfcQm5L85R8jw7znK3U7SSbQF6RS1PW6R9nAL/89OHAdjnEJo/TRQyFalMP%20CFbbJVxiZYRt9+VhHH7aXXaaQnZTNooXSfl8HuvWQaS5gftzAGwYLFMlyzTNicueRedtsqg2EJY5%20pPbBrmz6Tlgs06dgSkE7IXj7HcG71kcgGcxrnavyoBI0HgBmJNSBRVHGRox/FoXMYJQrWbL1DfVe%203LfD6HOEaaxaE0w5jBZCQzUhtbBtSrm/rNc0fXnDzcwa2ZDFM3adPluu34qvlpRPUYgwpn2FZTBC%20cJ/2lUlgBHc0gr0TdhWaGOsUJQGOEeJgAjCC1lWkAhd+JHxbni02QGeZBWcVVQi3NME/BbsPJIS7%20KEklsYBqZr14L/oS6Ce853gy9UkwEPhb4r0rerg7WLnDiAJ0FWsl9/ft736na2q9jLq5O9e+N/mE%20veAkijBC5Cn1aBBpKIoQopKVxRl/NHQpobGQ3c8VEenCd0s6trXhS+SJkfwk0xQOHZyG/TwRsI3f%20eU+Hb+rxESuu1LrwQz7XTLOG07lndCfRFGUpDK/nVVhC8vTizm9+/ZsmDr/1rSdTsvxwM/BgMf2W%207V+ZJ7jHSV5+mTaJt+R3kjDoVHrcHkwfBRxWa3p/lJ9IBszSbDhj3H4OoXTlPweeQHWad+7ts/QP%20YaTAdvBj9+t33ntLDB+lKPLhSYp8KLQjGdD66A8enXvNmrySidU4rXIXt4URol+HfWeEnn322Sao%20GCPRBm9dxCMr71BrnkO+NKnhdTvjIB2h9f2dqn5XjYkokkww9jD1ToSuM5LuZTE4zjxZWtRTykc5%20eiOufItkYJ1fYBGklaZEs7l0vGIJRHASQ2TtGdmjWd/zhwaCOxBHolPgo5Cwbhji/RtkRhaq+Hsz%20thTTSKO+ub8yMXID7cYYOREZKlKTPKMQIXLu9XgUIL47Ou1dd95TQ7grv1QhihnFUDk7IvxDgZEO%20ldAUaCkGdnitV0dXUP45K/aObMpB7A40yMFZE+gxLTzLHXfcXafxRCAtzq1c3KXkyhhI/bZFvucC%20s3qgXbsOV7/w/K3PLl3rWXBDMx12lqCKJvci/BBudSrBxYQVIeuXg5nXsP5Px7Oy6G+GMgYX5VUT%20LgfKzdt8X1VU2XT9Z7XH8/CTxTzYRWTF26pQT9WEe5J6q+KNovP7WsoqNiFgOkYFw33+2d+2eAHB%20f5UoElAbZSICQyH7Kvz7TbLY7m+VNLsepUcR2ACL3pBo4+YSegrEYSvrDLe0YXvI+bkf3/2K1LiW%20g6w9pRAEHoueRdnzpiBcQm+c0uMSGteYFiq+jFKaxkuuI+PK+xY2vvN2Rs1EmI+E12u9VRzZj5Mn%20/svOy2kp+lAO7u1RooSrNLg8A6/VAFKNYdC+JBHsqc02+FLZpTJb98TzfyMekn1xOB26/TnUDhx4%205uy5dzp5uYYseyaZ1zJ5nexuCJ66P0YHBBKZkHBB6dPApsnQRCYmUk9Eo9KMR3im62+tC1NFmUpw%20USQOs0KPlwPNnDhnGrVOgMG9835r2K5g+TZKyethsKheEniHs2YUqOGRICVe2qlUTzFylJBR7W+l%200MLkGK1NrTX6FENy6gQM88Mpr0/EZUwSz4zX9mEgCLCBhkGM/PCM8ZZPNTl8SyI33b1UA+rPK4/B%20oz13IeWykX/4dBOw5vjF0DYhKz0YmfE73qMID2XvSBoHObgMtOG79rKYZNbX4FQtYnG3Kc3ma7Im%204IlDB6cXTA0Yqlj2lZE5ezmRhDaw2Ba5Vg973nfmDLgqgzazfuWSbxS3L5Isw37CkWVAXJPTRMGJ%20fiW5pzdKpk4Xsx02xgfxOCnsQje5N+fp80RjppC0P0heSsl3enrk764YKUZW5GSdv8x5qOerWhJE%20Sk+kWnK1o5RcLmyq25rcR55xtZgt9TRrrk82Z0BTr5viWR08GKWc5KD8lwb/aKryA2fOGNYrqaaP%20uFYONydKfi/NidJ3PJ/Ck3W+v9AnJ4JLtl3Def3owgc7X+qNvdUiuF9ryiij5+Kwn4uy5RTwsvft%20VZY98KGGXpgc/EN853tDlBBJKeoBGaoEJRe7XksCpp27VCrlYYSFBadVoylyYIG2CrMqoPybLpfM%20EhoTfIqwixErJKPssNyjp2pb5IHYh1focFhU+AkDAO8jWIRbCIHZAHeDA8N1VgvOYqW5ZikrHZ20%20NYvP/RTT1jyeEPLqZTDzZznLEYKf/OQnPUgKEEpez/17ttXMaIU9S8FOd7QRRkqsxR5cWx50NmiV%20QRNMX6tMWVhKQQhnT6er2qEI9V1CtTyvHsjWqFQYNLZ63Fu1nMqbXN99OJTCQzO6rkZoRBcE2YDD%20jmrJz25JKfIkHM6Xp/pRlB6LfI6n/JX3T+9auCfcjZF0j6qSOi4m3hw4iIRrvPPpxzGeuTcCLvPr%20XmxZG9bk3hWE+JlQ2jpSNrwO92sdS2/M4dJAhRE4nefHnSwbQTvB7JeoR0RyORj6KupZCSfPgUEi%20EWn/hW+gIWuEstWQO16HMmB9aNvJLIcG1GVtTkVBwUIli3ixM6FcEioRVLwtnrTcQg9VjMPhGKM9%20FFPeK9HMuTCPz73CDp/+FipX2rwm2jM5eE8U7nuBLS6l4hD18bNUG7ouj0bJtH4IDX/zDIwRWTmb%20Yhp4N0/1jrSQlGfhResBY09FotaUh3o090Nxk5vfBnZYzKMOdtVtkHOQM7aSRs5mYa3NiyVPciEX%20sBPkZHLOOESM6VR5Yg1EEWIa5L3YPJJVVwJVcWSsA8PPS3TeCYazoDqwLQ2iRKuEo9D9G14LEpEz%204GkyGGAivOCWDItWokfePP1Gz3sLpXxuPmNVQbpnsFV5z/kW3ZC9y1FK9k4i0HM3CZr79xnuQek2%204w5Wow944J0K7p6jEy5EvsAV4C/PrnJOq1nKmG5Qee6158/FQTk/cq2gSNJRFLIqKtvyINdr7+M6%20XqDUYPbw75w197RKxmfWoPzZeOT6sJRFk9yH95xKm4nWA+RMUvQqKtHxVH/Krbz11huNXsjKrnb7%2098WC1TJO0UapZhXsq7V2lFOrhXLgLIjD+1q8MPiR92rUcaHuvNFEInWWZTxa0AJ8hJWmLNrH1WHJ%2066fXwCe1mgfyM5xCXf+B8vDOwY/DRdQdKhuCuF+yNiw5T18u3+atXs6C13PLN1wOfqhLFQ951d17%20LQXgmSicJjmWYPv35uFbeCFOqUH6R9igCAtBch9CzAV9NEMLAhCCxEPck1lwQpzyq+O1o9CRAwdK%20taDEZiv1akgUh+BfpzgmAu8zMDFEEJSDNxJamw3fLY1rMxawK54z3uSJZPbPZLSQhCgDqIEKZQwX%20p0jd8yRnZxyWvd2b/ggOgckq8N5We+XeKEZG2drC8qdgZAaRribalJ3+woxnm7nkAPECJDLIxvlU%207X2Q4hDFDWSIN33gQGQg60JpCdf83D5pafpRqHQtD84eSjZJ7OiCJrMtAThzC3MPnIa2KJ0ybWtH%20rlC6hNvt6xv54MHelqYv2D9YGhRxIyPrn1WgBLzO12IG7Y5HphUjmO1EvFHh7c17opiChZaRECMD%20p7Se5MNBcDj9Dob4WbzGVlHyqLJmDqZOhfIS1pUsM0wzFIBScw9T4u3+lSZPIklhVAxJ5IaiundL%20mq+RW6sbXr3g7F/ld7tee6SYCt1zkHvL+0FezlTP7dZMChzlDPi33IJ15AlXviJ7rs2BKPWx8FgS%20WOiSMRr+7pDTCaYkw6O5XE3g59nd08MZH3X29jCMyJ1ijNxjnbl8t31l1l+Ck/5odaVOkRpQ5XW3%20RM94/VeJbuwH4ykHciHXaVc5yT3PwnncnEhep/yXKSunolxFoNaTImeM9UDuoFWtXvHvk4fw1Xl9%20Gjfl/Ytl0bl28mUcN1TAW/J0GxNjdbS0BhSxP3s2rkXu00yMoQeRciQ5nq7nXC4I8MtQA/V5caYv%20x2CcjQPXQXdNDmVxFzF8Sk/VyVMaBDI0rfzdAfGAPCkHZyAEzX9mSjOvQMbRQ1POZ5R4NsxEN8pD%201dPG+EpQkG+zwE7nB7vz+bdkUXmDNkVIUxoLD7dJshm9w2vibbejmp81s/pNEx7YIqxUQw/Wyf3B%2013hN6C24uTdn4kMXkP0R+sRc8u7bryGC2+q3KIqOXBpTWqXv9VQzStHqv+F3q6qJcqVMhXGwXzBN%20GxkZ0Jn3UW5C4zUM1PN4riYFI5gEQDhJMVFWOWal0W15ux5+z9xDsSUxZgBi2CV5v88plgyHr5We%20z/84Aiw87cSPrKcQ0UUzD7QcTGGfgaJXMzR014XtKWtcszZpKXk5eJcROJWFyoiexoGKTATJe9cY%20LiHfl5dOFG/3LLwNOOfBg/dVSZt7B8qwTubfnQiU4dnhy/sTzlE+4A3hpPJjDdbJwQMP3J91DUtG%20yWk81vPhbsf8XoN17Am4QyNysBOFwgtugU3Wy3q0LzL2QL3G9EGG+0aWmjTqoIAc0ssZKx/lB7pR%20UfntTOaw47/97W8HSnP4sp7FjCmW/Lu9nrOWohYtSeH/8FDZdNgvD/Kdd9KHItELBUXplmdKtvPd%20DmDxlIXroBYdwshjk2+rQIhns6ooeaNldUxHQNe8HJm1lXBpig/WPtWY45hQljxitFROTKNITKns%20V5kNMbjlQcdgrNYE1Qf54mVjdDR/k2syrHBm7TphrvpxgDm8mqM2fOdhY/FOecyFWfIav1tKrsZd%204tA0ltw8w60tgVyQikkPN4nOGIkMEDatRWR07M7bW8LNkLcDokhVX5ZENuCrnZuiRHNWRW4KUkSH%20oA26qz1fQKxYTPmX6kz9PsBcB5Nw7H7aW1HwgiK2qLjdKfP31lDoIxGmySqAuZZQ3Oh2jAQWlXwb%20Rhd4kpy55/aOj7yT05dTSHR7erM/kHzEQRDhuUR6GmDwOmloNB8bJzxl6TuMk/UK9ujC+JESMtoR%20Cj/1qF3Mh5sO58BnOvO+NqfWEyCVUfmvLShN8w02Uiy5GxXLJrxKIxFDQPc+OPQQ+Ntbp97o1Adh%20B4tz6HDm0uW1oBJJlzYY54VF+Kok8z6JkoL3eWiKrLhw/mPlO/Axr5Uk8Ayrv4QeDQtn4x9ZbIlK%201K5yYXPoKZwOYs1/DRfTrFxSwgG0TsIu69AJt1krmK4+vLfvdeBkl2cOIOl0cHhQBMFrKfv2wdhC%20IQq5UYPwG9+lCYRprlTLDRPMvfR7S6L051ty42bKOu/1+QSr0+yi2LAgVNjtVWTSqsiZDtL7sBlR%20jG01hkNtHJSDqNm2nYqQa+ai11mNIeytFZYxqq6dl1yMsjaTjRIWdnku3hTP+Z570oQl3sr76aZm%207V3DPfBurNmR/ImSCFYB4XTAZqMvCb6PNy98POk7g43D8XHSHUAQl4Nvncjt9N04H9w4SiXDa9H7%20fEYbBuWeMDHgsR7PGpMlcjLDErKX+VMyyCHyXOiGHwT3RPnE4W7Zcp4d5l7KpnuNXFNolBSYBh69%20P79/MsmdB9Kb4eUXnm9C1FlirDgLIBbGopS9lA53FFL23r6QV5OyVVbWk2K4speUGeM6JcWqLVGq%209vUMgAL8bpX2uodRUjHGOvI5s1/mGY3eAj3C9fOZ+www0Nw8nwPeWR0Wp8XsJKNXwQe6KWYBhSqa%20uzvrvibmrFyLiJqM++r0lyhDcGThziq4SY6t6xfyyGa01F05sCKanD0Del2TwwcK8T60Sff8UHqO%20qJZ0z56/uiGycDb8XvCZxNuR8MO99uEobZi/vSFTkpwiHtebaB21NYyG3OM9GWABxsEj1hqgtij/%20hz7JecI+OimhvEWIq3+KfSPTM1XI7117ICwNiZx9e4AYcKTRocKqdExEcT2l8dDQgsnBTIcOMI8+%20IyPskPTwR4sIw99MiZ7Qj0BQIOtBmo1uY45DJYy3v6lyXLS4DXdcuOtUtCTDnIo9eJnf80y+yDXb%20hSuL25FP+fup0ykS4BHAL5sZDQ0EQZXC6YfHklFoCa8deF4iNoP6d4rOZ/EMpj9EWu3tSRu73CMK%20C37n3gi8e+3IGVnMXNJ7XOuWeNQoYRqSv/TFi81289JKMOfFkjJGljFJ+HfwgGb1wWJBFJR/lVVC%20fPgcRR3hr8dNI1NnuVaFu15BNpBgbpa9m5xXHUkG3xBMhQCF2rO724jQSWiIBkaquyTTcnE8hOKD%20Qrf8Hm7H2+IRGwJgfppnd38ZeNEH8f565xEaHgl9TNnW46iVzwGPN8vjEtrfBLJqFALDnPfC5/Ik%20rYTjcfI6JGFnCnaKcnIYPouiJug4n2Ab3jtZEW3xgO2FikpwFS9OSO35b4ph6ASKCKs+Hg47D53X%20Q4jbdMoUh8iuRjHKwyk6SlVZuV601tt4JgazpczyFZFRa9Nnz71Qvpc6D8+CwicZtMvxiJ9PH46X%2049l+Gs5yZj2GAof2xOMnY77O74knWHZLxgvld5KRrZyMx/V2lLgqLowMypfSlyS/7bbIet5LSc/Q%20ApWoSbTJQdjHfdPtj8Kvcspa8UZ9l1VQZTyyxfDab/91Dh4P1ktqOOK9U9IMMxmw5nVYhKbBY6Po%20SmPdOMrTpWza4y5l7PW+4P1on7x6yUzPYr/ogXp9ee967bX2BVsU5yy28EsPiu2LjPGSv2yDnThK%20MSju/d4UQMk9KVBheDGEHk4i/mxYPGXcRAm/m4QbJwqWfTYeteTzzTGmeO0oumd1voscqwa1T84z%205wkH+dhtkbnsD7lp/5jcB9gV9FC+fyfp6FrHYA8zjMTbn054pzDzzCIJ8j3TiyZqZAxAjoUCtU/M%20nviZvXHfZW5E/iVt6SAOpPPCUH+aeXvgzF1q7B1o9C0PLBz2YT7cmBbeRsnNB6bpRZUOZdY+ElF+%20PDVdnFDDvpgFnyQXbEh3s8mGVqFxunLDXwQvqdeZ/1hAB0hYpuGJzTgTLxqZvBQRzdsTUrQSLf9p%208CFMb+gP36XcS5dKyGXxUKSCvnQgRcbUUHwgkFiO1twTHIJ0s+bt2Zivrx7sAuofIKz8BAsgyvlQ%20FJqw5grZ5YFq+pPNLn8xjA+bC8Nrk5ZidkksgELiPftqw3uCgLpHUdL8cE4KtMI5zXPapCReIy9P%20MuiwngiwnGCNLO0EjHMIVwtOesOaV0FvkEW7arU5UhqNJ/QRQeiWdjbZZMp14YrWp1/2wz7xjPPe%209nwWzrH0kYcWeiT5wGO/+WAUcRSWes1dGV/FGPGyfDVMy41qSs/bsJcUCY8N9Q2eiFvtOS8c03Mk%20hp7XA+/NnmG6vJXkqmtS2nBiJas3B7+V+LA25E2iTbcwPnv7PSuz3pg5f/4f/6qc5H/xL/90EqUx%20+pSDKsVCS4XKErll34zNYVFRCH1r8DNDdhH/fadUFdc2uQmY5b48L+PA06/3nPUgd51qk/dJCN4f%20jFtJLfaCAaRvvpnkXahNZIWCmShJIm06FMJd/dk9pcxyvqpg6y0GgojMWAsUqmN43IkK0EePJxKt%20Ecrnl5/vO9fgiGhbILXO4PSMUv75DJ9LgcA+lwHqHETePxzZHjaXA/scabv+z/Y2yV6BavSpwPjw%20tQZAWIdSVfNF6dSYbxI7nvBwjQdWGMzapzCyyql9btuQhk0jmrY/D6TNqAo/rI6n02vCZ72bUVYX%20orQ+T0K5xUuXtBDNINM4Goaecvg+ev+jQAB6PzvuhwtF8SvqBHVN9MTImcwZ3dMIj+GbqfdYFc60%20JTBIwX3KubjnE1oZaNyU+z67rYdnnGS3vY3SjRH1/DjtX4sw818TgW2NGow6fz+VXi6tDqS7tE4V%20DQcnP3Nm5j3uQn26AutJaICuQ4AsvCQFqQU+t5N9Np4FW+0bF96J5ubQEfxuZG9uBEZoJhRY4SD8%20uTheDlYb6mQx4Ig2xnUJOWqYpBH4Y1neer14ehtfuaNxmujQb5gSnmbYuJyUk8TXpV2UTjKdlKn/%20sugMjIYvsN1VzCKUImx+h6LHYjsgXwsb28M0SjPa74DucbnnL9LTgOGgciFR7mMqg9BnxsC4nuSl%20z9QoR7jZcUJNOE3v59VFzYFikWWIHUCHnYDQ74xMa+oJNcgCBJO1gJ8ZvikJNHO1tsxzHham7hsd%20CbsFE2HGwYxiXz2UWykaGALMYBr0rjTeF00QrI6WiofBD2ccCSWrr5hi360xzFFMcGlK2NoUf40y%20LRlfkhM0kj3SUAYMJey05+hzDL/iF/d0mieRgwqqmEY7SdTEW5gquEn8UIy7t8RS8XUhdJ7ZdXip%20krwgku+lO99TmWKhoOO9nEDrQoYpUDLCo7Yfi6GjMPzq1zwSHfdQ5zTToWxNkPi0B/TgwXB2H0gn%20s1QIwkkpS0lLPGvK2dgoDaRwtz+L8n4uo5zeDROIJ96+x7elL4X+JrlX0BOlwyMmyy20CJuCorY3%20/s0g9yzEQF4MhMcj1WeFc8TwwNBniOvkDuqV2ftMYXXfbZy08cl5r6IGfy5vt7mGDXZzVrs2lMTW%20MGflTFbBiDNh73z+XYGcUAnbKIh+iHLnKDF+M318T89QeyNjKaC1ijyqyBLO555FaWT70sWB/Uql%20RAOTaNTMPY7DgUS95gNybNAT30qbhSnMObBzKOdLLuP1DBTQV4Seuuuu9O3OZ7+VhlMvplVpDlsj%20zE+zdnRBp7SDI0TQR8F0nChORJwdOrqRq2G5oaXleVZykdIU+WuxUKaV5HbOQ9sDOHe5bqsBA1aj%20romQPC+HCGuo9L+8robuaxPSkwvIa74MFEKfGY6s8MwYsLEVOUdfJvu4FIM3E4D30x5REgIhmmcy%20Fm4aZNgY2Aqsx999VZHmIMtMtpm3Rj8R1k62zaG4npfbgL8COPSRht6SZxEMXZQkYtbonGaacx33%20VdbEdhBvSKJJFrUjh/LZKpcaXuZh0cLqxQTzc+3rK3ZGGw21rRlruPcXU1Tim+CaW4aedTFG5mBC%20ChYtN5qmLQ+H6XFHGwzhVqKy1SC0uTdlPMwLCgz84L5g260glCjMv3lvsrr33nt3IweDMG+8kNLu%200ODwOL9KeMbyT1hpXt9wLsvlbUKVwpxZdW3adNkARNdN0jTxaelSCc8cFgdeMml6RswgR/vSvYyg%20lDtd62mY6LBEruh5kOdpRp5CyTqh6O3VHHs7PAS4AsvC571iIQca1FHlLJFoX0UA+SxYY6ccZ0++%20yBqZckEhtZFPfs/7EbK1xWjuSPh5U55R57JLNyQZyd9jHKPQKBU4njagNQh5Jmv3f/vD+4N7Hm33%20tzbj0QOintAMuCWr7ZCXPZYEJMvlrqeF6CT5JoEEQincosdA7uPuYImaxPgm60eyR3eGlnQg63sD%20fDT7dDoe1XO//Pu2csT6mM6FBq+GSgjPzVox3DUsuXeGhkNAsUmIez2mQM24XECM2yBUQ3dzT4sO%20iOcNe19TZeCmnk/i19qI7oprb1NXrrGEsh8U9/puOkAiLx90ydniXGSNrd0at0QJLw4+pS4JvuCW%20NiDK+jozvrCVwJz6lrydhKVzSPkygL7tN1ko+2jzjBkfZ6G0NpFP7t8wX97iOYLJaY2z8Eaot6ak%20KNmXS9oXTP1oCmReSS+P09FdsP3bj2XMU1pjXkzC+XycC9M8GH+l8ByOgUBPFTfWC4UD9OWXkS9y%20Ebkr799+xbBYi4akuQf0wI+iC91ro4jCiTMKii4sKyNG8FKiqy+yXqpS5VN42Ltzn4t+uBo1iRDO%20Ru6sx66b0nkw0beE+pkYHSygXfWGI6gdMtq+nWnccRZhfhrHL4aFDzl0kCW6q5xWLuetqet2Ihcf%200k1cc93z3kkA0tZI3ZNYmLBxLMc0lJ/yY1LlQOpH6jNL7UHELyQSxdNkzViyLqBkgveBPWIcCAsl%20TMswSosTPeWKaxL04MQOYEsYHcrCKVMO7t7wcMeTmDBQuKQJ0X3pZIX6NHxDHEetKilazzRajaD1%20b5RovNPdgQz0e/DcQrnbozBkoc3w0tDEkMmDsfp7UyV3RdY43tCtgYN4QJTVJMMinJkh9nUgEsJ5%20ecPpeAM8KIkPit6BUPLtwLapUtsBjscuZ9eZbihg8MncTz3lKKOkdmbgrL3xPMXABjvlXS9mi/d2%20+CKMOdZcMErxNgnkYOcnk8wYGhOvghJRkZXC7EI8KpYWP9PveAjgFh4Jr78UucifsJosIdI7F+XB%20XkqpMU5n1vtwcGX3hTLmOnICigzgs61oqqcx9D171UrKPDBnoXSyOgEO3BizTl/OQXEYKZGnnlK1%20FwWsaVW8+XvTVe6Y7mExzjfq27zJ8qngqL/865919A7hFOEw8Oh67ccRr53CBaWRKdS44rG5N5/3%20Se7Z/VOgEkCcn8UaKp+mCeLARfpN5N+Lg8xr55mqkutX7nm1boRS9vzkfYu22n83wpu+1lU+Ofwy%20zLz7mZ6iYVfoYPm2PmsWHpZFlS9cdEuOtzp3w1FLoWtByXCsWWeOwDWvEIdWpRwY0msjn4VIRBWi%207siZ9b+wTeZQzn32xjwv7zPrsj+/vxgDfjq/tz8iIZ74A6kAfSv5rJ/9xf+Rqsn3M7T4n+788T/9%204xbIoMBhj2D77ImTqDsb+MbPYM7ot+cviKIVpQycUIclz3hDYTbJ/22cmrWPHN7AuehSD88aZEi+%20OBNfYb/E8dGcyngvxoDHz6FRzV2iB5nO6+mViYy1ksgggvTheP/9d/NciSgIOoV5RdmkMuIIKSoH%20q7tAeT9bGUPN2CczjlGBiyxbOiwBCqlMAZiuBysGtVHmYoaXEphXwlFHScNP5u1w1hGc6ZQ/yo0Q%202bC+vwq82EOTTvDTc3k9/Jr3N6PmZ0ApzLZzqHL/3fBtERr6sxEbZagKOtci9PWiKHsDEOO58tok%20n3Ra43l99vnHDadtrtleTfA1sZd73UbaY5zwjAkt2IVCl8XumJtMlngrrSkJPD6vZ/aZx4OTk2QQ%20i4ZDsrxW76vTFAXieXiXyqfLC4eFazwfrCvJLwpDsx3eQ2f/RRGo8NodgWJsb7walYtZwOrL+jaF%20NEZwz25cSglPycpheDQRJKw2MSRC1eZGG0+53G6GsXSjaZzf5EeE0r4IvRhQySdk+0lh5DOUH+cA%20GgME5qF4vWdaVU5Czv5gPLTSLs9XbrjqzyRwvHdNuZCnaCc6hjiKTztV73G95iGyLiXaZy07BKC9%20VabPsWRmObd5fkyLU1krIfWRIzOTEW7/VLDRO+7Qe3nPzp1RwgfxfE2RqKBk3+MBvZ/k3HN//1/C%20oIk8ZL+sAQ8bf9RzdKBllLlCoEZMkV0e6+qKiB3TZk6Ubs4QoyRvQxb0M1gcfwbseKAKh1u1mX2Y%203tvDm6Ys7f1Kgl/OOSa3KsGE5JSlwoZGL0088mhWRHBx58CWxBOVgJ46LDYK0Vo/nmboIgKyZn+c%20DwqNDE4Drv295gvPv9D1L7xRYzfYMZ3RvMh2ZjkIZNDaOOdeC3ao4m4EGjpqnCN7uCLmocmm/0Yc%20rrZpSD7As+9XvZv1BZE+/5vneq0/+MM/zD2nn3EeUVQpZ+VcOgsiFS1h9ZhuIdUhkfskc0VQlqVo%20du6lfYk3x1IhCxk8cxo5YEr87QG5QnjgFDDAInc9KVYvHBHsqtKdtRhj2N45YFJRSeTv8uXbr/H+%206xkvJbhGdC+8l/AWhC4XF/1iLGYxwQjG9M4dZetpVoXaKGG4yijc9fMx4ls7x/y9vL5N+TRZtSUA%20BKwNDSRbKM1NwS8qW3G/zR/tpmUhufmraGER50fhflPG7LUEf+Rxnq0Z6urvDf/NcwrVozq6OVM1%2082G/hZfdvGz0mSQTeImsbJo7ROENnQ72I/SQ6VYWDeu7vGdKWhsK8yDzccI6CkZxxnl4Xycwmd+X%20mn/TJqJQcCHRsFB4ZIFV250+9UGjCmXKCO68Fl67rLCGKcL44sG8YPCGVplC31KaAnFgRVwadsgN%20MR6UcLtXMardRxGKNSmI0TVCz1kHn3fqMLpWy4PzvSsRgEMr2lhNcCTRhKiuW/pYnoPhci3YomQc%20z3b/gXh+ek00dxC6Yg7w4nqbiaal6pmvjowgRz4aTmZtWE/ei7DTfqvCc0BaJJEowYEzBgorxuFv%20pdrmlWi6714vZw/BRQcSjWh0RAFSQoeSjLycg0KhCyH3fpUoJ0oYNPFVnv3FKOHfRgHxyOvN9yzM%203L0yK8KIuTPKnOfHA6QomgCy8bwH0UByD+AF99V+CvW4UtYvw46OxkMTXUbG2iMm58P05/aVyJ6X%20+rYp1Xq6ChU2/rx1t39weIZI3gSsR0GDIb1/dyK7TkjJXsgLLcenjsatMzBiNQaz9tZYLmd56Tfe%20go2STnu5pqGxhX0a0cx9d/hrzokz0RxKE9/p8pY1JFMU/swGnDqG6ROSa+azRDLVFUnA63hWOGWL%202BAOGEATVDzbPXq9hE1hzX6ReXSGrGqk9EBGJj3xeBpmbYwce3N7ioDKntDkJwftavAQe2T/bo7z%20cSWDXj1rWSa5n1bhZX8q4/F4wRbWdQxRGD9yXBv7hAMLmvBee3HmylToWoeljFd0P3pU64WB0vbF%20mJeFtjzYpcDWnyz1tibXlCnl2SqzetBzWKsMHeIxuP1a2dilhBdfcf2uVUB9A/xyyiq1nNvD2yre%20NG69lzQ8RlEJSF7vkzdNGVchu8RwKot7ez1lv3lW15TxpnS1ziz243OFbPCybEozwjmANnyMo6kX%20qTgMHjVN27Wg1NRIIk4VTSAcYsaAuIl6yDMXr2tSw8TXCPc1+dJLV072hTw3GX3YLXzJxAnGEIh/%20JbQNZcVtZp9DdS5GTygE/1W9RmA996GM4RHp6rvLKzI5gMIGh6ik8jr3vELDCrEkYxOqMyF5dO38%206S55TUq2cZWnJ8RW5JLPW1MeeN/2nmegIY9WiYpoRAGXUyr8+fmUFkfgV2LX7iD+o/lRDqqReL0r%20f8AIuX9FOhXwKAvFG73PMmlinXIfcF2Ve9pbfmTqNG+KgchB1hZTddVubJc854XNSbg7vSjAVuUA%20R+FV+LVnLAyREDnvuTGJ1ctJgpb6Fflt0QP+e/bPmknythfICzftPB56FdzyxqzfF+kq+MF779bb%20evAhDXkuttLOYQc/4ZC2vYCQNJ//ucb1ub4Ditq0yoIZFs+ykmuiTVizw7zk70pgK8kh9+xzFRTp%20J4HyZQgrWQEZcUQkuFrVp/NYlJR/q1CrHETGUcQCr3f2oFAfAwh05bMYSMZrYKgpA/4813kpv5N0%201XCKYj4ah6D00bwG3vpO6IQKGBaLouc06+c83ZNQneEQYX2kb3iqbPWj0IALbn7q5BTCkNflXDXH%20g33hHG5fntG5MG+vZ4vz59zHUJqLd9lEm/z7kSjeOxJ5vBLs/u8zHuzJJ5/Y+WEGT4gWWTJNhh7J%20ZKA7UziicO2jRLo83jrkeW6yf8OuOX8cC7JAbu0X+WzFYHQCnJfBJi/OmfVo98Dcx4W9M8nonJ4s%202bfB7MdxbNHXTSljLywi6p9o0fOX/prEY5y8CUEWZWbhxNe8xmvLMkr2+t8vpbu8qOte+g/++o+V%20s0XXpV+yz6SAk7G4+/ZSfuZFTdlkKSmy3PUlW2Taa+JRVudRmtWD0wluaKJV1/O6AQ7ncNdjnYID%203yxUAv9uvD0WrpelUCGYkl/AY8tWy0feGhTld/WGtxtYBqH3AvvGK1QQAC4B7UhqZbdNOOlUaB7D%20NYWdyqayJXBeRWieD+46hoJHiwPcRFk+d1gbigTQvIZ0ry7f7zUb4cWVfeKZXXNTuIUcKKvOGpyE%20w0xA2eCefGoTOxKE4AQeQSMhmNimmHONTndJ+bW+EZT7HXvvrmfXdoW5RnH3KGf0JNGDL3QqYegX%20ZqptDZL83IE1juiTj48nrHy4VXY8C/Q2G8/w4Z+eiNLQ31anNZGFRjx3pc9vMb14WZSPLmv2s4cF%20FBX2yPLGHTbPdC5JO7PtYLLaNTIsd6bnMShKa8W2gYyy7gQJlo7yS1j8RrL2FJ0pMhRSDW+eXc/o%20B+N5eT7P9W4OLbmD2zNYKgnhwyJDB1rIWgpjFLIoQDJxaGYzgmv+HC+yTdSzXw2dK99DD3PvaKGl%20HMYQf703ZfN6YrQfxbSp3BuvUY8Dr+FRw1+1lj0eTB4t7vasHRx8osKrVZaiT026PEeTSM0xjJd6%20lgHLGXVOlfEzrpSR6Ic8KIhhiCwMQ1f+b35voorknJJ0Z5niojda6JFnEC2IRDx7aXn5ud4gGFSl%20wclBjF/Ts8ZpITTTDyNyls87GsbFlzuZifcZwxLvMrJ6LMbi9zIR+7Xsm1zKrxLB3J08Ctlq8QnK%20YM6/YQaPpEIS7PhpvOyv0tPlFIqn3FmrTGdoq4SiojFd18gEb7hKh8MUWcEbZ2C0Bj75teZoww+3%20huoIyIvvMi+i10bxTg6DA2bfRYPO2g0S8MWPqrw2b3P7s7SNek8DRayvUUwjKIt6du2X/z/+0kWt%201zpJBJQv1JSjSUIod3SY9Pdtq0qvVafebG9uOtzLq3FD3WcTfBsbgGu6qgTnz6EQwSkHcxqub3/W%20EEo/CMeG15VnTuXLzRFGr20Hfkk7nqO9ty6twBv1UeZGrmdD2btioePcj8BsuPG1hCPknhHhpfN4%20WXcY2hVVTOOldvYcTbZdqN40L9l7GZN8EM4vBaWi58ZQmHx71umLsSuCBL9n+XmpvIwYsCjAQkSN%20LKKgUk34VRQSTwl1jRfmkHQKiTCyiR2ZhghZ/msU4lnDx1wJ2YVV8mrMJdMD2q3D+AgSyEBpKa//%20vMZIUaYUG+WoelIIvUZCwW/dAwrZ7bcfadhs0SX78NpnLiDPMfcZuRAacx54fIZ2ilAYSlN7QTxL%20udgriRaK188Kd/DMq5TDF46imIbhVwtdHIXhZn8MDGVoyiihjPNgTR7b8zI7pnd3jTuFAjfPfXWI%20bTxiSkSSzvscbslEOQU9RBjhOhfZP2vTJlVVltmjXCuQfXuRlJKWvSN95dGClfL5rWbLMzn4Nwda%20cE1fHWBQjy7FBzGKb+SZPduCcxhB46XsnwpFPTXAXwwRY+oeDGqQYNT0fh/4Ll+Mqc+4mLUXaTk3%20X2fvPs/6fH7DNPepNx9FZT8kzT0fJed+vX8aSt3QUmmRLrjNNBJRFWMkMrk9hqCRafYP/exyzhpq%20qj0HZy1ucM+Wk1TvEdU9xTClb4YCF9jm6W9bk8heKJfeD6Z69KEHkyw/VkOhj7C5giIO0RSDpkjs%20hz/4YRTyYzvP/+pXKc55qf3PVeiRZbJAVvTKuQlbKvt+c/og27sytsAcErKaPnEe6tw4n51XkrOd%20owu+XNp405XVDYwu0gwjGxnBeKoBIGrXK9oVZlf9/CMFvDBWm7NCqYVZXf/a6/XxUuTXPGMhBS+W%20vxvP73Ju4vvPfKddjCSdfp02l5oG3bQrBRg5kDaOVbxEEXtOig8WRVHbGVnwUt5WCDNu89cbi2CP%20oVIR6pav1uMYWKOGthZrDI7aeIfaa67Vp+dSLHHBEA2DehBzPf1R/0/K2H15De7hFkHkwFJ8PrRF%20HJT75kE3uriW2nI3Axn4rCr/3uN8pgs2gbIZGAaiBSedXj0JGgnQ8iZrPIXZYwg6lDUJRNllHcfQ%20/XrQNgbJ8vq9dsjrBI+Hv332lgdYeOCCqD7NRIPLX78SLC19dEPB2xclQQkoPTWZosqe8i3WP6Wi%20stbdv9wgI8Lbuvvu29IsPb19o3DajCr3NQlluByoIgZUBr59S4ZWNDSsYcHAUq92HcahKF8VNk3G%20RBeYQiKUfL6s/WIDnDmdNpWvvdF/tz9DvDKv5+UzZCsqvAabaH+Ze2js4jmDk54MNWpN9Oi6BQP4%20PAcaNVGzqHqBV+fP5h7yOZVd0VOglxthXI6uLeYecBi0gNyS0BOtYoBM6FzvihJlFLzPddwPpR75%20hrmfunxqlBiHYsMYVQbqVQ1rZ0i1vK1zkYsL8bUKoBy1HvUzySiTpTX64m1Phz4G/WJ7ZTsTqxTa%20kNE11YdwF3stZjzK/lKjy+nBwciWY45h8FWcK/uZe20FY57Bs8wMuoG6wCZdA2e0ojMOYTHW7HMj%20B9TGwEWNUMzbjA7x/vox5MeZpxnzxdB/lRwLFslHSeIpYvrJ7/yksxbphNvT2lJhDdjFZx9NWb0V%20bm+O/P5CaHNTxDXn0Z+esaOqRJKcPk2Pwnialq+bB7wpxCrhb3za/rRnnhoDC8KPixdJ4mzYzf+V%20Ql5K93rluhTs9X/+f3vvCN3cSb0lSaUYjuPJ+mroAZJQaaTDmiIMSSLNmU+nFSFFfKWWIw9rlYUx%20ynCXF7GFA55qCbDNy4s7InuSiNPgZjpWTXjYw7oVkcBMB92ZbwvriwVrsx7nZsM/2gyfkFHQPrvX%20y2WjcFd10VL0JfQ7FHm+1unrYbFh2lVMG25eBSzxVy98szrCMm/thk3V0qhr/7mZMRwUJMWmY9vw%20Picq6Ld/DRa1c0PmpfGcZxTWTOYtxkcItvLg4SKLInpz/VqwlOvxBsAH77z7+c6zz3+QcP3gzree%20zrgrU401M8/n89go1xoUa+Q+Kd9kmkshymH0U540z1WkA08dAzmf32iiMrMturWxvjWMGDUT1nf4%20I0UnfN8qz1bvA3+u3AYYo7mRbRWFiVfisXMLuqo1Qow14zn/XhBUm9CLYjRvys9xsSkV1xwaYCCg%20vPdMvKTzFI+pOfaLENq/yGp7gPD2wEXNe2zKtXI50No6pwNzzdrPvY0D4auMA8qbotrC6fasAFEo%20UNryIF7baNcTb3KKRSIpRfG1WxoDlvv/MgbrlES6dY9sllGEyx3FsmiBpf7ldzcoUHBP7keexues%20/AKliQueAgfr+HX3cYyqm15tV8egZgr5JV7oNJtqV7e8aoY5VDtdYyKM15R3bc88hnYYO5a4yhJz%20Ik+M/aJJmDzH+RiZ9o/ZN9x6eQWjxkQS9MuLGfr6WRSvZK9zeV+gJxPQ33nn3UY2lZUNTxZt1RmS%20RQVpeu4sgXUnx43Ks8kT5G4e8tdZqbLCNvnamGFL3jqjr87OwJNs7C7siLbO2/oJfENJGy/G1/UJ%20uOVNdsO3338jOJvK2BTvUtSL73opHmh7qUa7NWkUrNPMqXc/fK8Lcia/E3IQ3pt1p8pfToVjyIPZ%20l/lfvNwVSi6FSkCXpR68b+6ZVauny6PwDMWTI/wORV7im1DxAjEshgc9Yuz2q8q6gP6RA9LybQCH%20jlvTB6BWBIoARnHNbYFHsTAGeb1NiXCueXvXiPf9kOE7z8FhJ3R68C+UPBe0T250FNWNuQ+Y8dTB%20D13Pz3XxOqfnb2lEWjfO+KmWrxenRuNKPJKG47xqDzgYa1grPOt9Gv8Mv3u8Yx84u2qPXU+11YcR%200pMJ5fbGUzRd4eixYHFJijpM5e6WKWBdZq2sfNVxrsszhU/iJp8JVW1fqEWMyGrksoZ19pHh2c0J%20OwRjVEoh9LMq+Yp0748SqZd3kRc+BP+BjRa2vynXhrljbpc8whp91vI2/b7eD6W5ea6t0GKbilJQ%20pcMSask9j3UzlDPh270tQzZC1kKOzbJ10ADPlUHJ78okaEXY/Gzd8zKma/17zjYD0VwGwzIWf+Q9%20f9wYOXNNisPnrnPaxGYiFdHszTxdXugckakuXfdtafqsYwjLarD+Y/d3go4V2mnuo0s/RnE8Ebcx%20NQWjfPSYmiT4JXMoN+/UC2Z01bXt633W0FFumwzyOPUhaV4jLyWz7b284ehTITgVunJKIDzGWGLz%207jvuKaZtyLJISyUtGWwrgc3bBgmBTPQP+Tiv08ZTodmx246WK+4+9aPG9VeePVH15qlXFhrbR0bG%20MWMMnNcq6KwPmFWC8QoDNUu9rdsGn257eb3+bDSwRnevBav1ve5reQnXc4cXXewfQxn/mDWxft+C%20iqyqsJFVPHzbkdCEMo4HlzOL9d67GeKZ35X6kS/YIwyqwxzjcR05mpJcWBmYI8JW5RJl7SA7iJpv%20tPaeNV5hXD28mepQJUwCqj+nI5lD15aSFqFYzuDgwwdUZjpCNxZseMvVz7y3CpxYaBTlWLjrvJse%20WMpIEc148e2zoBnMJoc9xA5n/qO/Rv+1P5qd6996Ef/zbxtNEef7TGbtmTe2P5Q3FDOC2R4AikKy%20ZmheZQ5sgqFC7+zWpQ6mBqOkxCQtfaaZezfeOE3Zpz3nRsfJWvJ2rXND3ByCQ0mSPHj/vakgSyIt%209yK0L5+y9zeGyrO2uMRh3YyWMH23ct4wGI5//mXpeh1fFMxszxETf1EeJz/RRt2jgmf/eHE1ihMq%20DK4/e+ozivVTwptLueTweqW2EqjXMtx0GdUaBbvZnR66Ln+V5UBYAwdtCrl6Z+6rQuhvUXwr+bbO%20Tq/nHPENtvfOz7by9e3ao8Q2XissOes9zcq/Uab/+MDqPX2V4vWfe6D0tiT2QFv5HM/Rj6vvur2O%20kRumwih/v5ID4fHPulOKc0zAA2MG5V0a0YBwup8jwJNPGY+RDq+Rc2b8l2uPgcvfV45oc4p6Y9t5%202VT3GLRcw/qvRmOr6U5lImeP12sKEE64e23LWR3x4sDVhbkIcjnb3ibtxRHZhu2evxqWUHSHPaLk%20xxinbYCijlz7VHJFug2qHjx7FjyyNxWXd7TpEypgITp00CaHtmXrIsz+N7/Tf08Ubl3mCf/hV9EF%20+mdzEsagbYtZocv5oYw7/jr/AMovLpwEybAD1sWHdjIj311nW/z+fjscFrybOJ8zntYIuEPeAZA5%20hAfzrb+E6bvwu465jkIxpJKykMGEcVnUB0K4VyqMoA1D/vDM+6V+nU7S4myUEjqRrPI0K59eFS1c%20YM0oL0ky0MBaoZ7nQaAIYv9eBb/hhgoj8kydGNtOa92+a0I6Yu4Jp3pwWBdT7DKhnN874OvgTXjr%203niw2o/WG+gGkEDh4SQ3bYL7rRcfL7i9WG1zGwcxCKnoi/C8n4YoTzzxVHs6IPif1tQ8itjhp2CU%20iLqPeuEU1U3xgIWL8U7rUG2HyEE5H9ih/aZ5yJKb+R0Bb5czTyryyHsfMguPkeQttCMafHFYGNeq%202mCilDxvNc/Hc7BES90RbuNmYL2SgIyg61nf5Z0uD53YDJ668E99ATYFaDG79DNgoDzYelUbvEQ2%20N4X3D6C1yPQo6g3G6XrZh1nrmt1r8jzWtRFOQcvNOKxDNOdnIqwq5lF6/bXX91hsh207xDUuK3GQ%20raVwQGU6IF4PB/XZrvOe1u8axpNr0U6uJSJpFFH5GgO63tf1UGiVe+psviimFTXY2HmM7QzztD0L%20R2Mp5O3crjW2k3GlxpnZPutancHmqHyT0Ba2DwTkM0TBVzIPsknvzQGZY7TlKpanv71+eluEn5/3%20STy2hoAizU2u+Xd9jQpORpjhiz6xFopD2vNCk6T83Ail9pnYujXyoNuuMhfT49yZ4g2T8Zdfzpit%20TCH/wfcfzwTuH3XqN0dk5VbG2M332qORiz6Mh70GOzX6EeFe+/1ajnnN+toyWLlmDAHi/TWhy4sC%20e/ei1726f+XKz6bT7nHSm/BQVqj+PCFyK1DSXAeGuZVHzh3PN07esdBqhBo8QYtCuZ7dNnZxfb9K%20KbZmGoTgUPilx7QmTJNq3L53Mv1X2eHZU19W2XznO0/vPJmuTrBQnli5mCdD0YoQms5QDJBazAcS%203mkKsrDZbx7ROtabS+g+LAO+r+8BixsyU2BCtGVstutAiuql+JPV847RnaP46t1unl33YOK+enZz%209f5tfJ0tWbF5iJQAdgUva7qJZYT8x5827NyjqbyEB0hiowQtlsmtMXL7I8yDQ/OcptFQoQ4GaMMA%20J7mmfWbuBnshfGEVaTA3HFTVhwy1vdEFjuEmA933KOsany1sLuWKR97R8sMOaBVZoZR5TgUHsucP%20JduN7lTC4pbkc55GSDePLO+YaGTWlQxZ20lmVXX0XjSXwkrwIdolLsVU0SucwJpuh2hcuE2vzs7V%20dcj/Rh1tv79O/Ed+JGNHdvq9Kel537rg/H0drrni1B+uQh9wVXHq7utmsPN7xmSNCbveeKy/l/Vi%20bTbOeJ0nh71e8j+MZHv4RRmgsUaG/hnFzbhuwnkN9uijb4ZtUzDzeLO2vEHKt7DeJrl+O+v2/8eX%2061eWZ2lLUdtGZ/3jdy8FJ3/Qpk72zP7nzyZB83fGxO/ao8b9bAa3CW5nZDPCPgaN7M7kMm7e+3Fb%20rLpeqZaeB/Uz58mTox3uvtXQisAUR29LOfiXwZGHH80bxzlujiAJ8MrUdQrZ58yJX18bxGkNyaaz%205pE9+4LNGuXOexpJrbfTkRrerK8ehk3mFpF7hUDdooah433IaisU+LBzvTTPTg/ZZNc9QPOXdiDf%20BbXdUA4CxX3TFW3tgkPmwPs9K6Y8leXS3vFksuoXNOMmgPn9V8laX82i3h3609lQc3BNvX5/uoE9%20ktEu33r8Wy0YseCUeybQzSInfG+RhhDuGrg+T/7N8rlHPxjoo2OWNpBs1PB2/Cxmf08pbMyG7ffl%20QKOjdVsm47/5c/PkTaBsbp4NwNBQ614J3zS23/fVW1if0Nk2drOF5PW4dbhLckhf1hDnP/ks6x4O%20bvePQoMFEsa8Z+hohHUUyVUNgHqfI0yrTHzCz3hXTTrY0xjW7BEqkmSG3ryFCRrh+L2JIiN+6xCD%20FBRYzKioRFmdcD1RQ+vwFWlkfTFKOrgylCNZ+FFyWbeAkZfi8ZLPVb3oE25sVADvG8GucEvauNE+%20iOfI75vYtXLjHXZ/NwNfxdJE14SIUxq/KZ9NEiaBMl+bKu7zXYPgRlfPz669cnnUIzvfHNAx31e7%20nxTaJNpQBX1Zhya8trDcq7RzFNIUIrrmTH6DLZZa5tDyLmuUrNu0CmgXxA1SWor72i26kXq51i5J%20vnwmB+j65+095dYosVmAcSsakdWIjjKQn1hRmntZSqSy3rfO+9dfux7yBmutr/Mmr1vCkdflFW9/%2072iv7Wo1OPat6zbnwOsNJfBZio/gsxMFb1FurkNncaw4FD/+0Y933gqFEWe8PVDyurYa2Lohuk6v%20kfehWC4CAbojXBlZoG1h6xhsppZMVU/kmXtf2/Jt6+iPgbwGJSjqAGdm1K3wdd50+2hXZuIZr5Z8%20/aDN0rQHagS/WXEblot4uJzGWhLVUg6BW+MJ780U5V1hLyjkYM26YfntapzTjmVR3LKYDW21WYxg%20aKhxABdU/XyU+Ok0zpHw2NvqqygPHckun9t5O4M3D4dc/cTDj+ycywK99urrhQ8/z3DIF75+YefO%20EMjhqY8+/FinsH6SdoZDr0pYpR4/z7tCuyUMBKbLcE0zT4HINJrZPNnGykLCkTTPW8+MDOZ9GyJX%20IUexq8HaDvzgjWPc2vA7f68a6/+qbvof9bnBj/N+m7WkuvvtH/imFFwEMQIjzNc5TiZXFlgT/GX8%206gX2be51E+RqOojIYHoDKo2ypng39y6/T1ObKFMK/lBaQ1qPZZTbQhAs0AQRD35bv/xdZzmlwkjx%20R5MEaQImHjD8E/uiXetSYbgnZdN6Qbdst8ba/XmuJc3zJyXu+l4iIbKJeqGj6Twn+TThskKf2cdR%20Hgsn7iGo0p6uZyK7a8nTte/bx3bPfB6Z2w7GEoxrSrm3u5TPOnzbz66p8aWQakIGZunJHIU6XOsN%20amjCeB3uyQnMY2wQynWGZU3GLpy1ecIUcQt8lrJegr1MRq4nsbXO9DV1uSmR3unc5iSftvMwRnuM%20dyMzygZbZYODrnfOuoUrmlkWa94pCKDWu2ZVuNtRW/UMbrdKdKtZqGLeIK5VCm6/zpdzvuUg8uy7%20k5RWwozL7Eul5GDj33ifXq/UWq9sDC29O7zmrfTVWdh3ecF9/MHs59yOwbwYosG+fVPA827eg+Dg%20M2fB1kbNOav3vuz5ZrzcS506z+S6DZXnrY0G+7rZkRZ/2PP8fVcLLSxbOalG/6SJSw65zCRPxo3A%20ZAstoKXp/5qLd4xMFubu9DnVKlLDDqC6vgled2N4dqMgJnGwymBVOvloHadui+eFbsMTRrPRQvJc%20MqEdlR7PFs4J1jiXJh3P/vLXO18nVHj4gYdTEXO549VPJ7P/cZpJv/ryq2nu8tTOD37wg51H0sj8%20/YTX77//fgH4s1dSVdUMe2V/87LmEE1iBo7X5ZvfFwScxXRAO40DJ7KCP4qzurWHZXmcY2DmAG6b%20dA0bG8uJ4mQNvesybC7CgSQzqnHb4F7RZQivbQuWKVSsV+RASL5MZlnryJmwTclMr+Oh7q0Qcm60%20XOd6tw7FhK0rtBXWj0TO5+/dO6ObwAtoZzPxhSLFlpheCP324k0hzxZv109C0wHerWAERzj85wPp%20Sue9sD7eRcuEUzpeJYKKtYVv48G5GR7ijJi6Ic+bi2xrmtf3w/CsGR9tMId7Mt7imEb/Kz0s+/h1%20WQWaiU9P7aXoeJkUTA1LH2YUubUu7a3h46zJRBsDgRg0MGj4HKpZ3w2rJufbPuKQl8+znd1OdokM%20giIoHFzvhtgbXDT46haybjLZBGA+abVfXZWbLjoKcdZhMUNGvsnaCFkjtc1rXEqPbHNQqi4X7VIx%20cR2ODZZodDZneO2Px3Dfyyu+hk03KUeJMiabJ3xNV23NwiodI3PLeAznltOzMPxRzItV4vM8W1kK%20IgBVd9m/NrrKVxtKaQyW13AMp/fFJIDL52a0IkOfJjFHh2mIrypT0x/tce0t2GbyDNOIv/1BNsON%20+SNyxzgS9emrsqb5eO8adTayNgZp/ORVSetvEwFtKNnUKDh7nC/6tpWVVcGRN1No8jdFAaOY5Hdy%20EPNNAEzDaLs7ApgL3RHiuBZ2MEFQhGScRSVg7em59Xhot/u8xoavrm9uDeYrRMVHddhULNlIZHAJ%20BteUuNOT9Oru1IAfSdlqiNjliuZGjfZ59rnn0/wjjb5Dq9p10ydNNGEP7EqCSp/at95KI+qUPqrL%20f+zRx3dO3Z4a+Ch4ZY9tT7hI2xXzTXiXtauimayuDLmDXyVZ4Zo/O0VhI9urqrPp5WRmfW5PCahK%20LJ83lYnjtZR+szWb3qinVYjwRIk0NfNI7A4svMz6VGh5E5tCGGWM2woXuxJ+7cFScQYPntC1irVW%20YvayWGt/MIp94r3RMXNfIyhesYxB44HyaScROoNaXWwOos+qrCwW4MadLKWKMt3WtNV8EhISgnm+%20XVdQE2c68TRzdx+jgIYHHuMbxV1YtIp/GsuIOHJqCjcp4GmEZRxpk0gebYxpp83UjC2etAKJwT0p%20FVl3h3T1jPAs17jQ4y90LWfzN7ZGtVvtYhvVzDEaOIQnX8ZJ1yPemnm9s8r9KpVPkUg+h/MxPRu2%20knrRhXCbwRBJauYfmEYlo9cPA6hXuW5nlsA67DQtHFenu1GSDM44zJNg79psojvXjDwp9csbUMbK%20Td49L/IsZT9vUJQ1bS5B8jd7VcWf1yuFBiVKqAnf67CUjTH0UDDa4NXbvbreNvUG/gKuUm1m/8l2%20J3nE4K9qXg6Txlb2LeBLvUlU1jVOqlEPE5jPUNlnXSnrrte1M5w1C9tCbuV81mlPek3oh/JWKGw+%20rwNIVdEp9JEQJHDg0A3+cRnrYG8/SnTtvRLM6Lbldlthz+jMbSdndMbEuJ3i00T8ZshJywZ9Oh8U%20ep0PCec4LvPeGIH0JTdFPE28ZtT3ahA0NzNWVemkpA0sRdOUVwMP3JqyQ7XnFglRqxUoeT1yfBMR%20UcTuc1FUSkS3mVkMJGyeGuzRt3Hone5aKGFwmFvS6d8InwfDFPD3t9OMRGXSAeOYIggvJ8PZuWHx%20kr/OezQZPxD8+HTw4l//+tk+x3333VfgvRabUKOt8VQdLqEQYL3eyCzIcCRBLNOlaYVpDQmXJzia%20rlgmL4DuK1Fdq8YUNNwXupfS35dfyTyvrGFJ8+1IZZYWA2VcVDY7B5AFbk/gVAERfM1yeEtThGE0%20kRvdlM0WAlX3FK9XMRjsfWMOjA6ZMNu9XvPMq3jnOgu/G+zZoZ3rrPdec+HqSfWU5TOmFNYFqmgJ%20VS36cD8bepVPDHLKqxycPDNMl8VvghdcsYXm17imBLryNdFGG3GLgBiBHrb8bvMyfSYDdEM86Spa%20P8/PJnE4XrpnkHX388I/+feN7REwFqNN3rdOg7fkl/YfpFT4JNfBJSXL9r3P2s+YtWvysXi/paV4%20cXlH2RANU0fK5EhUJJcxylG8w5hbnhjYrIGENFxWe0Xe3EQ/mscYyOB94bmfGZrfYJ/KzDWm2rDQ%20vryaYj582++2DTDFZVPAhRqWh7q9rsm7rN+5TbEy9pc6SCEGMi1cJzwPywc8dWMYDAzbRu+cSdWj%20lEVj9ikeQ1ugNlKMgq9c8i7REXM/aIYaEvBEax44MKZvZ5KK9q6UaOGxMH505DOuviXieR1M1zP4%20mch7aLfpV2LlnalcR8+WTs7mBG1dDRsheM1GTyWQlO2uFDoto+z9FCuY6+SFE+2Zcim00wX99HXW%20F84e+RcZli57/fnajL/GYLOFzkY9qyEJWLt8O8ettqRXtWAgkxR29VH+w4vevPli/e5dcRbLtDp1%20IfbT3kooTSLQgUrWm/J77bXX2tMXr9UEA7OeBhOc9oqu4QNcWMjsy78dxjUixp8Ev0NHHSDNZVSR%20xeq2j28wxX0JCe6MsqecPkjZojLpPjgfJDd+NsLwWVpZOmxziLPRWYAvMxniuG5iWWyDCnsoLGwt%201hw0HgAq856sDjI3Sguv3wa5txNJEF6O0FTx5OTzLd3rTLWYWWLWpwMtFYIoRsl9rj4CvGPdyKaq%20cbxJB0XCQPRgJt2NX0tgUjAT0jvVvHbPMpOrV8CzeT1emwNfDq8KKrmV1rYPfc9zTcJq1nLBCLyt%20TmZoJnoOHCU6zh9vh/HZoJo6zZtnuAmZa67981ktjGEAFJvU66pKHsPk0OXnZ9M2cPZ1vIPrS+eX%208Pa9BLb5CPc9cjIHV0JRs3qVhJM4YUh7TewN615PeiIHz07ZUBrF8/P3S2Mz58szNJk4jcCrvHMt%20e23Kit/ffPs4I+A3b10JpNosxkkEFM9+DDk7NeskI3+o3ha5x8dOlNZkKCWew6iVaZXm1VSZZnBl%20urvt0ad614He2pWs28VETJdVrMVX0CNlRgKNh6ldJblr855WyH7Dcup+57MuSazVEDEK9mAefnPM%20qrw5Mi2Kad8N5/FS5ZxCuy19QW5N43VR0C5NpFoWPiW+wvjyQbLeFxM9W18cX86WUW2cga+vZq+M%20fNLEfc90ecSo0Wnw3jR/klD/OE6cNTW+yznrtGyMCPfPUMUh04TpwTTu2XXzxzu//MWvgvUa6iCp%20P9NWeLWrTHzw89nembBuXJtzs7UhlWTOC5zN+jOSnCiMeY4ziZ4ZFlPAy4O337knUEdhkToYMSam%206YC2sFbI+zVPePPBJ/Ssg3eNLSVaAj34j+GO/vD3OSwcg8nriAZMpTkfx+142F+Tixl4bhf4ABSw%205lfty0PxiDUB0TDDxltcwyZRyD75lHL9vBs0izSKd01woJyWd728Iv+2iCy/jPvCnNT7s4rFpLOA%20p/P7k+mgdNwwx2wwj2JN+/AZrVdH3m4IHkHJYgnPm61sGB8vRb+B/D2540mskZAeqjnEX+dZF4aW%201gE9/EKX8SAmNK6nr5dBFviCA14cKl5WPkdZ777Dt7Sx9c174gEUb0qHq20KhfdZM7gTT0CLxYNJ%20hhWTyj1Py8zxUDVqYUEvXpqG4QSUgej8usIOkxhsphUf0iSTfJ0/NwT8gQ6m+m8c4xi0vB/+rm/r%20WucmVq8pz62UN+83BaHWusqYdR+LX29h8/r823oJL1sAUTcRLEE5CZHxO02pmCYvfKUpf9Ykf0ZT%20rSbbq1+2PV284pVU+6aUdyuiANOI0hr2NQCf59k8vt6n54fFU4C81uWB5OZWWfRag4F0ZloJZSDx%20M10C59DBJReP9xtdDkMGmYxnU0W3rQePDVd6DRj9+BMhvWksOej5EyvXG09qF9n+Btm39gdR1xa5%20uqgvuJFZWbPAbBrsrJFHGmiZbmzqhoKENtjqHo9zQJH2WbbKR9BO27yiX8VJmAGrojOTKJLzaVXZ%20ePzk81ByKuA0vHevN6iTkrrcBlK5/qYscfvL389/5HNkePRL0RJeuVA8CtnPKaOTcYok1J9J/ka5%20MRaDZJrn05aSwiMX4FD3rdnOqrY7kn4Q1vODD5Joy6Ps368R1unon7RaNf3GqK1NLpYj4nwpDlvK%20eJ0Lid0m4rN3KvI4baAjgrvPtJbIS9uBbrmDcTAcOZHZtNJ1qCZKAE+O01YnYLvuglKqVyAeec/u%20TO25PUiC868jIJ5yo+v8TjQcsmefvxXHMWyXv5qWBD3jH4XCUQ8hi/Pwww/XE34gBH+L/1zqt9/N%20ZAatAdGpZCVPnnyhkw3GI5wEwhL0lWld//a7GVE+ociqmhGatj9C8L+LZy4V03MQzl+EP0/XJlBC%20S5lzox3Amd/fdGWmP9wSGINbP5lkypLSnUQXy79334Sx0+8V7StY1Niyvt46f9YRKazpeIx+6fed%20hpvP23M+rBE8WR5ekmYO5WDE6V8br4WyuWXvwa4LYdcjlvKlXPAVPbPqHn2Hz8HBcwf1Jni2El79%200NmkG4O76W/8/vvHYwQzEffbqRiKx34q7BJh3l4NfvZmPcqnzSFIpVHx21rUOaAO/YFg6beHBsg+%20t99DXrv6jvjUNlXamrJQwMXnoog6NknWvHc0hhXu5vea4FsnhrlQcD9yQisC3qgoBvBwvJgCBbmW%20+yHEQ8ubfWlkkftfUdSSlZUp9ycvXhRh/t/ZwCSEdaohZxLJ6OFJYK1GMhqHXG+UVmXjwoWvJR03%207//yuaE9kUH7K9LidTFiqyiC8eA49HPb+GaSVFQOpbdfc6Q4J2cDgXySIpaOXNe0yO+jHM6eCRQQ%20xSiPYWq6ggt0LA9QfDt70AY7m9G8Mdjmydwfg+6LrJsuI0HOk2rPEU5b1vKU6dfZ67Yu3WTZflD0%20ZvddCv2xzbFigBUt3XrrV2U7VcTzOlAh/J7cTnOp7LdcRxJbkyOZRk77osTbACr3C065IZRUHmWl%20lrETkawEqJoBQwPSShKefM+9iZYNED0ih3J65ze/filTT26JHrm9xoAc6Bxd2RA5xDC89NJLLe76%20fgbL0kEfZPYcL91ed7JHktX2HBxX+C9rY03aEtYw0Dhfwz+f57SGIsk1Z1BfZ9diXDiEV4/q45w6%20BxNshBWSy7lmKWy5DG/Z2YJ1T1WqHjmcgW++imFvZ6buYZwyDqoqVXvs33sUlLS6UtQXBzP34V4w%20yCa3IOIcaDhOwe7iI9gN3/ve96p4eckSeH6OleAgPprm1N/97lO5qGbaX9UrIBQEeGVCvzkUDfKu%20Was1Ioa3Z+LrrUlA3Rzl0qnUW0bcgccXVvJYOlC9nJllN925ClH2QFg4TYBsAm/tphwOTUyUkp3T%20cyHWeeGRwo1ip0vbuq8IE+8ClGADKVjlww7/ajBvXWC5nQLMewqndR3wNiLJIdZvF2SjH+8d8WR4%20IXs+v7mRhESisOiDVMv5s/dQDBD+SiNvCaDcC2MCmztw8NY2v+Z1XcpMPPQ8yngqAVOWfHISGHA/%20X+M9p1VhhPmttz6IQjzdZtoErrzQyJXUltLxKnHC3STJTBggKKU+5efjXVv3HNj8nNJkBO699/6u%20y5nci/HnWmNSZnuC5+8q8yJZ6lRO3pbQy0h7B1xZKo/HIVvDM9dkCgfCYVqj6lf05LN9pvBUH2gG%20Twc0yt9rtTD8Oh3MVmGN/fHeKdQhg0N5a0e64r8rUTlGrGwTRzbyRFndk+ko9hOWTz5nXl5TR+Ws%20fxr5N+/x/uQfVl6l8EoU8KoKcw4YQXs7Ez/SbDyydDoy/tmnx9OaM5Oecwj33xKv6tiUsjfqIIsM%20C2MYWuBN8Yzdu5zIKgAxyBVUV+cDaybnQ+LKaygPh7tTJrbzBz68FXMlfcFr5LOv5OSzz45nX78c%20JSWptWGxlA32DGP34Yepiow8Hz6CZsprHRxfk3TVnTzKO8MNt67kHnQxDhevTmQl4fXJznvviQTJ%20z2sZJPpy2Qu7ovxPnj7fknunsFBm9tralQEBdsi1VmQo3/Otbz1RYzQDdWdoLeeGwmfYrrSgicKM%20jG4wYYuQCmFw22d4bdJ4zW9978nvdVzTiy++WLLAjGib7pN3cJpiiBg5e+VzpvQ6Q43zJ88cK6ud%20+FBIa0RWLmnWoUZFtLvhx9pxUriezcxLRl3ewjTy84mCTcw2bkwOAVujzmlkcteP04x5eU9t1pKF%20WoMPNZCuR5ODq7XcQw8+uPP97313580k1Xw1wbV9XR8Wjgc01qATfaN0XduijtXiYlWblDe4cGbC%20oSS3A/9yDdxjzbFRjpCxi6Vpsp33y+w6CPti9R948O6GVxTQStZQtk14bIKzRekVVP2RZd+nMXr+%20pver8EyPWF55ubfTCL55Uxih0A9W6Qr1DDMeyfBEHpTCh2yiKbqGZXqeT0K5k7gTcu7ff2jnqwjx%20SY3SUcTyX4s0ePvZKP02bonyvvPu/WWcWG9JF1h6KWX57IaiZ2esvM9uY/wq2gzrZBQSYdx041eZ%20qPBxaW8Lz+rBLe1uIBmRwE2JqazVriiu9oHgDeXPUn3yOhzONm/Pv/YH6xNGHo0ndVc8F3v/VYzj%20EfzwPLND0KRM9si+SQw1W44aF2WzBqGSFbJg/xbevYy4vXQw7KEqSliaWYGw0KOZbCI8dNAoWoaF%20fMHZP08Y74DCMt0vr/9iPFenfvqNbLmLLczck/7Vfi7SarisUtCkkXwJ2zukM59DhlyjtM72NZiE%20VEt0q7w+6Eindu2yDpFr8qptYx5j56tdOXiSQPszfy8e9EH8a+OhtDp1eMmQRHIz9A72cE2rMJ2P%20fFtT5+aOGAQhfTnKNZRzP5San6+czAzHTNJ6g75ch/zxTMvQqfwOZPThh59EdhNBxiHyoF+doTQC%20X2QfBpuee+noJLmMfI6EW+o9K1eTKBwlyn5TYA8/Ym1ujPL/Mgb79M47aUe578lvJRH/4M53v5ep%20HpEL946h4F7adIiu2SAXfycb2ljykCeHNElAX4w6BefbczPQ5joW9tyoeF1DkACjCcbJ2flSZ8hA%20Bbcfy4TpKMZXotMuZm3h8UdzTh565KGutxac9Hink9fQDPRh7Shr6yoZ317WoEFR35a/6LxI48V6%20z8YuZUJI2Tsz7ksOq9F+zjWZ0j+aR1/8nRxEdoo08H4tAi+XN2yhbLAxOcujFRLAZQy/dDELWtYE%20OeqmjUVaVm5tJK+zDIocSot2JN4TC9Q68+199RCIpGRGlMWe4LCE4fCBow1FTmbhqlhgjxFAyYMD%20ERoWRwLkq1NnWwDREenCEtU5vAId+tF4arUmrJ6vGTOEYcCLq3XPTy3k0b1RhA4I+lqMwvUskxnK%20SCkOpmzxcLGpa4nDhlk5OBroMDx+9t57H0RBH8s93NBD8anJuzEkDfs4ykmylQNdBkNuIlO3b96n%20Ak6znVh+fRsyiBTw1XBIAiuvM/ZJjwrKp55dBObY7TP6vCPhcSgd2GB4mB4H43E3EXkq45ySOGi2%20OF5U2Q75fIp4N/yY5w4by987RcIMwtwboddsxdp/nF7G72e9L+ba91RJBoNNq1MNzne1jegwVNqf%20ghHZQlvKdsnH9RDC4PPz2evAiVLsx1133dcmUDBHnq8p3RfNyou8UsbN1GdByHAFP4m/JnVhe5Kt%202cfmDWT4RV5lbqQZe7wdn8Uzsc8fRTl9llE81p18uBcKQYRDISy4B5ZK1t548+16NGChvelvYD8d%205HprCe33B7K5z30IQ+PRS/hOI6ppurOcmHbI20pmGZ5F8yKl5UpvPGJJr+VJCm8v5fCus1nqZBVP%208Mh8Fg95DB9KoKh3ihU8E8YT5QKa3H0zjJ/D8vXOQ3fsS/P3u5urmOEPK3cwo8co0SEO3tTKV9Hd%20iiZmPNvAKs7lRx9+3Gd19sjmXfGon07bghM5D+ejN9aItmKkjFfua0VNlLqfTyvY+ZpOhINJLwUJ%20e96fcnvMCga0eYUm1Sa/sXog19mLThDldJBvZLkJVzBk/g7DNcfQ+amHm6c0g3A3x26Ty8UoGsdB%20InRGtXWIbv67fHmS+nvApdmDrxIVDqec8UhNRW6cfCuIsr+mn+yPfkCW0KflrGI6TmZkftcrGey3%20QocS44ljboSVdINGshjcZ4S66bXHE/Z0XL2wnZUo7jQeMuEqrpWDefr0xQjsvp2770yJYcJuN3FX%20uMoy3zwaG+ZmPgvO6mbKAY3w3ZLsLrD/QLxJB/rWWw62xyo6F0/72NE7gl0/2V4JOix9kRDig4SV%20H374abFGY9afeeaZejess8O6EpTuccY0XdvrCc0dkPwIDrz6L1CQNqJQBmZGjUHC+Vh/Da2NjTmW%20P88mcfVmKn1On4txyvOYrXVXKgv3iDLy3jczFuhkQiQz6s5pYG+Y4Yaho/CeN+6+iRMja25teBRV%20XwFva43sSQ8ITxakEkE6kWvBImF4BPpwBi3abIeNIfkqeGthGhFK9umyYoYwSHYFAsLbZQwP+5wY%20SYJvNpdcDo//SO7tULwIysa9+P2ZKHJ7L0QFTfCzX38rI3fMzcuaUygUMezYNXqYwY/QmDwHQ+Cr%207Jbt0HjB5BzCZIDTL6pPfr4vURBvU9a5ijvP/EDW9Cf/5Pc7UPWjd94J/PN+DSLDAxLyOth8WQP9%20njzDaEmfBreeHivVm5RA9vPNcNNfeP7t3MfXUcD7RwnmhZ3QDM8rRh22ztkTrcbihPzeT38vkyru%20qEHAHujk7OzjjflcFYbGMjEKxj4JSWe8l3B2K6QYtnIjj+G+ryKRCXvXWlAAPORVBWm9mkzKPTkv%209oaMtpWA6/cYflM1Sc7RwcB/4xkPdRSz4YknJjIEh82UGLCPzP4wD6oIW6auGdGsIfgKRZWsiQhP%20JqcBFqQQPwmUuS/7oEK0SWnMjVwf9dRnnsh/vOw9+7CIJK0DP+a9Nf5YRCLh5h8GVlxRjX2tggVj%20ZT9Uwk07zYGUfIbnrJe+6a6p3pwJKxqSmV+I2bH6f7h2YbK8gac9yemBRq1pI5At+TxFbzNZnRyv%200VfXEtDyLZgZm1e+8mXLiHQYbxk3A8+YqM6psdCeYRPOOR/PPftsw+s7YBsSVpueWlMvjhw6UpxN%2002wtLKfQufqzX80ubskfcm8+16lUzH12PK/9JB8aAXnyySjieI333n1v8eKjh3XugrmamJBNijBq%20HuMebNLV8JPOxMJYfA1/CC3M1vehA2EmlGCOLnO4iS9hNbqOBRMOwr2LVcLUIrysYgdP8kTy7XlY%20bYk9BqAc3e2rfRQ2KwjTu7F0s+msJrRE2Xn0kUcqFJTj7njyR46BBaZgQZitZ8e999y/8/Bjj+78%20zX/+LzvvxVA8+uiDFTiTbWHEhw+j1t2ysz8YPMqbhFm5jRSAjnY8Kn+m17DRPl9+eTzsGNY5ylw4%20adpBlNuhHCyhMnYLnrM+HLwiz4aZcSHXT5Z0y3zrmZrnScb3hjxX8VvTMcpxzsGJF31/krjYNLyJ%20k/EWHYQvE8L/7G/+LjjuuZ0f/vCZnYeSP2hEk/2+kJ7UM6dPcxaTpnW7i3IhE3nBYLHjyQmbZe0d%20ZPtj2fenzL0GiPFhQKLcCaln7+DXclJvzntmCsQTGR/v/sA/FCq2AW8QeX531oxCUWVWxkYMeIex%205vMZihZb5N/eT6kKYXW9O3R4b4p2jmn81fvERz2cPbX/FO6i+MHYH3r0kZ0f/fhHjSgM96TwW/B0%20U2QVFh4j0qnKUVoOuenSF/Wazj3hPNfDRUv08BW7qeAjYwu2cQ9e5xlWTobn+USGzzIyJiCveX1e%20I9LZkxBaREMpUx4YCONQpUFTnB9N2EWYMzsxeCgjGgPa+YGw91xnlx4mJVL3hE9UKURzl5vHSRav%20fJ2oaSsQ420ycBLYN+b5nEl4KA8THGRaSGUFuyOyQHG0z/Gm3KyZcwUamFasY6R9Xc+EWX8nI2Uu%20UV7b61aSeGCT3M9m0JYRsxaiRuXR1ma1ehhveKo0m5zYIM0FrbZz4XY/kAOf26Q/JGC7P+tCsfs5%20xb6SsO5jERg8y4KTrPOpm8Ku6f7nNYxKlSnSgsxoPKxa+Cziwq4WdQYG6oB9Ho94ueYjQqgtUdBl%20jo1mNpLlzFfaW7qw8eCbCx/LzEn5MgrTl8UQKn0RIakyhE3l3ppgyQLIcnrgw6GEkddpyj28XROB%2038lrHuX15RAb1+PLgEiuv3t5MyPIHfaVUFzJocFap1scZUH5lfZ1zXsSFk1W/1DCsVYr8WB4R/ns%20+zLHyywvrAneOHrblSsX0hI0OFMO++uvvZ7sfHCgeAqE+oc//NHOn/7zP9m57+VXdu4PQ+VSaFgn%20/uIvuzFtiB9FvuvqlJXb3fI6i92aDEJolAznfuq9ExqJhVDuZKSz+SKOYlV5BrSyT89/kpfhG0ep%205DkkXn3fc68WpOE6RxAoCAfXPfL4DYekzDr1JGujeOaryIKIiRHDpsA0oLDfSTLyty+9vPOd734n%20Bu/ejrJxHxKsPr/R7Z7huRJEE0Z6iJnTQizmtpEblViTWKSg78qIcwYNnEWxY33wxs5nbeHfZrgp%20f//Zf/qLytWDjzy6c1/Wk4wUNsvng19aap8PL2dbQcDlGBkMknoiaUoFr4siKsR09ViVgKKSelzZ%20S/IPw8RIAeMYKsqz9QS8m4fDheVlgZvw3wuFMUQOpB4tW9acIdu9+8QkcgNlXNgVpRoDiWom3Ok5%20ojRagVWprGHsGcqfDqy1p5D9fmXcH4shuifG8nCMyS//7u/SgyWDRBMZikIZvaNHM5Muz3f//Q/1%20PLTnS/b93hQkvdUBsMljVDaxGAIPhde/ElDLGMxRJmuK08arYxDdV5WbJJ65dS1JH6XEsJS22AIq%20pdY3Vcbth1wPvVAqGv5v9rjGKH8q578WiW6KlIK6XrkupfyP4Z3VfKfcYBG5+9vWddU8VAZzGLwG%2084VOAMUwcJJyC7nss9uFBskLbzaqLMNt81zOgOeX2F25rBW9kCWOpj2isO3ZUviNCjdIdrF6FqQ7%200BXevpBUHit6kcVdOM0/SCI08ZNetrEGmoJ75osbmX9l3S3UsgBdrHJfZyMfe+i2CGMqaZKJRfP5%207QsvdEyOrKxF+dTo9hz8A3qKKhLJexHdu1HFkJOVryXKv1B4YPOb9YQBYnnYTArVZ9sAm+/nlLKQ%20pIyA7dvBcB0tHD/KZ2FBeK8LM0YtftkiA5gOr0JFkEkkPFXejmd5Kwmsv/3b/1JO7hNPPpoClWMt%201T3z5VflhTY0AhXk3u/+5J6dP/mT/2rn0Uyj/cUvfhkDFMinAXOgknAzKU4eAk9MAqoFCVGWEm0n%20c9i9EkRzJf+mJA8mSpHUuyEJH+EtBTfkdckblYj7I2SBkbI+vMBzgU54yaomnRrr3sRCsPYbEmXs%20ieL8Oorxwu6JIPwe9o3FwcOvp5H1vz3w0gMP3pdCic9D5fp859a337rW9xovEyzBcPHOz56VnJFY%20WdVdZr8NW4Cy9/zWcdfuwzUMIps33npj57GbHtv59nee6f7jZ56Px61cuGF3pnhQ2q9//HoVxfe/%20/0UV40Op0rzn3vua63gr7VUVIlEI3XPcWph11g6vuI3xo9QdJhAPaIOH3MQzuhlvQfgambg1w1bx%20RM+d+7j4csfeRwbc/ZTVy0kEvuGh8e6jyB2oMw58fgY3dAawLihoRx0DgXFy3jq3cItMpicxxlCa%20pecwt79L7ok8ktnFPeZ1/fpXv9y5JbSpn/6zP965K6yDv/3ZX+781V/89c5rr+fcZH0ffeRM1uTe%20woaM0Cef5np59kcefSyOwfeThP+40B1j8cWJ442c4LQLU1646GoLsLxjDKrBSac02rVb7q96sGs8%20fVn8ab1uyv46o5/GW74vGPouDJmsk+R1J/TIK8DDrY0KYAgBvdEZkqNcV4T+DTVxolfrZg2dXVCk%20M8fAtKfIlp/oC/kFoE+9ULKelCRDe2tosS2zR1fc+OjFmPsO/HkT4FFAN35x7oUCB9vRRcWe6aIB%20map7/Kwsp1Imp3hr0dUWrFQiBMPACG9ssOnFci0OadPea1+ry9g37r4Cg1j1bWgg95aXwcO1MTp0%20sTqlhjWpR3lejWU+HPzt6Oa1BTuLQFCUQiXehNBISPxEhGSNyumIIB5oFmOqq4TACTPz9z5Q/lNp%2004Ytwed41hZuZVxdv9jdlrTz54TC6eqfDbgtbIDb833HA8d2Hg4rRKj3znvv9F4kOWyuRZc55rng%20PqucotgnCRSwP164nrw8Ok3tC3Xs3JZ73BVP+cNuNjqcLL3Xv//h+zuvvPZK+3oQTiE1LzYSWG+h%20o1WLr8Zj4H3A0rKhkzEOFpwm/L6wJU6dDOk+RR1H75giiOm5oBIyyoIivvfunYcefigHLJiqUTJZ%20G/TDhb8RxsGxhJ+ERoZXKJWVDZKxRlcJs+zXwdDVGAhMEbicRAhIQSKyY+0lwPQqiJEwiNOQUiKN%20lkR5C8vJjTCZomgVXcO7q1WKDp/DdEvW7NNPTzdjjUao9J4i1U8E3IOnfTLJSp4vvP2LtFR9/vkX%20mit47LHHdu697/4YxDvr6bybBPOiMroez0dRBwWs6ZR9EU15LaPqMFxo2D245GJ8oHnpJsgzgk/e%20koNoHabdaNoExDDziM69l0rLyPFd8ZxQ+RgFh9wUk14vr7WXvKBCbnIPvGMHcPMEO3Ui0J1MP0fC%20HlHCvDF5Fueiz5R7/DAy/z//j//jzk9+//d3vv3978eYHEni9o6dO+75xc47b70b6OaWOju74vF+%20ceKLrrU2BhrmqBEgh9/93nearPxtaF6fxrN2RijkFjmBCxrNUHyj/EZ5THVjnYjeu73Mn5fhnvM6%20zyO6klc4tCfFG2GRnIsSB4cdDvb/Qe7j7KlJVk3vFfM5ZlxSh0BshUlTrj9fTZqDDTcIZ/Igo+is%2011NPP53cwQc7L770YmGSDmdVxLStbSGyzei5XkvR4cQxeka8LYaUR8WZHp7L8Lk5BT6Xh4/hQXZA%20T+5dcY396HnC4Mp58B5Rmu81Em55xWt9VqR+uRg4PvN44ashExTy2k3MqnIWtzLZ8p9RRWzKNNCg%20eCUmJDWMSuexlDhtFHmEngKg2GC4q9hj4S6EG0tjcfxKe8pDla62ufP1zmE514UrXtMNEeLk84YO%20o+qIBzk4DTxxkj7HZkHznoW5WawT8cC+SBLqRIT37oQVsGXJyRNJQuyN9S65PvdH2bou5eVguaZD%20IOvaCQJZ7MeCG+6P94QHeS5E97ui5PfkUMpm33/vA0088Ujd2/PPPRse8oPNKlM+Hwc2wOagbD2n%2053LI4edVDhteuPviNOr3DCaaSLrcF7waiZ2SKqSAomM/si4ogGhxXnfDPbHSuS9ruuhk/pzDNUqH%20x/S1tpZNLkybwpXNXsLvdTotSDB+mnUx+Zl3R0Es3islxKMjNw8HS34idCbhN9jr4k2DlRZPTx7A%20Z4NImhCJEmRz9SGRBLQ+o3iCwQca47mei3fM83F9kUnLzsEiuXf4H+WlI5fp4rz5QmuVC3BIogwJ%20qh52mCDo5mLzCY8E87/101t3Po6SklFXNVc+O+MfuWs+I0ZY3wprik2wDrX9cE/29ovAVfcGtjoW%20KOVK5PILDsM2r60JQiPchfa5B5/dasP8uwUInIZGDFMufySQnJ+tjnkU8tqHhyNvD0SZvpOk6V/8%20b/9x5ze/+EXhPB7in/zbP9v5/T/7Vzuv/Po3O689/9tCLT7ni3NfNiF8W5K7ZP/Fl6N887yPZjz9%20o7neI4ks3nnn7XjK7xSPn1aO032Noh1/bbjaA1ckwjUhOvsNbgNTUKL0x4YqFy6y3p7l/ocf7Jre%20mqhBI0T7fCoyvmiW9Uxxa6MzGKnrvxbzyR3UAwV/VAmNcVBCjQniXg8nUiADnvtUhpxWxjdFfn2B%20EUNBGZMRTCcyQrG73lLCTSRK2ue7/O7sOyfz/ffe6146j+W864WcqKBnl0LeDG+NRz67XStz3TqX%20osENxi38sn3XO8/f6Rpn03WKGV+zCDV388DzUANCr4kCeg0LS/dHeFy0YUuESWPxA7cL++LV5KA5%20POsaa+7b8rxcd00u4GmuMOR6d75C4HPdeAV2CyLy98+iFChNYUOrt5oY0vrzUhdqeTiLPrSysq7J%202+WdaxxdTzje3+4ktKzBwujWDLIurGR8lsIB4905IK2M2viPTZ7leSlw3pXNqhFAK8oaUm6s8Msv%20v5S/H64AH4pwgnusW4sx8uVwUqowcnuxKHWrbNi9PvOd7xaDNnKK1yci4cHNCPR4oQmRjZB3XXCF%20UeM8wKjKCsTacM8i2SXLjszf1og5iITBfqweDiIiEmDvVQ19EWXPKJw9mwjh88BACcVPnzqTpOyd%20mbjynR42dDgYNSoarxn81JE7IqqNLlUK21Y4oHm9nT2UfVBU5D3vbUVGcDiGtU2hYmjxh78I99ha%201VOL0qUUKWSVoqAhcMKR8JKbxIp3jQf+9rvvTGFIFPOJ4OAM5T8JK8M935V9eyURUvn0+Q+M9kCw%201sPZV4pLnqRFN1kjHjvZsEYzJTtMEl6z+8taXaMTJlQ+fXHWvF6lNcwzNtGW/ygejucMMAUX3TD8%202TgvvK8VVpMbZ8cePRgu7J7sqf4NP/np7zYh90qKKv6X/+V/2vl2CrX+2b/773Z+98/+bOexp7+9%20885vX9z5bSKH15M3OZXWAtbVuKyPMkzWlx4zzz3/7M7T8SpFUrdHnt9Iv3BO0vWQQJVUzt1AWxe6%20N1gRLTZR9p7ftxgGT52hl4PIz0Qpjydiufv++6YZk7L7nBde+buZvPxR+PcopZwhe4zpAaLsMNvt%20q/poXPCCARuMPTrFmkaBM5zPP/9csfpW9OWMtJWB4osm4waPX+wGZ21RBMFkjwU6ZOAp5joTm14i%20nww7p4uit7f2iqEEKZb6Wih2PsPX6KnxcNdXy6c3hTwR4TzPup92J9xweEbM9TXC2p57XugbjiWJ%20tTiMXsiir0GdPIYFnB9IyFncaVPgi9BPKU/oMrQmX9ca2eS1q1FIua15wIWTLcVbjuqG2yyDcC73%20cOJLNDEc4lgSc+ry3gkPJtReRmBlpptQyLV8d1Ye64e3nH9LavHGHK5SiDbGBQpO24NGEG16Ez7x%20+Gf0UKhd2RxUJh4N/vRHAfYJXYerxoq6pyqSHALLYnO/zH0fSNjpB8uDa/XZhg+2jJeC3Ty8O47c%20XgrRma9Y6VRA5dA8koPl3qo8szYU3+cJjfWBPp/steQmLBw1y321x0gUnQNlPyiQyRRLwExJ6fTj%20nYzyMmD2qoIcIWpxRT7nePqEnDipkm84xOh594Qd8/S3nsyA0vsbyr388suVpjIJNtwNBr6mEPMb%20CJyzwttU7TWeYQ75ZmiV31N4lJcEFajkaCY17E447L49yzRUmqQRLFgUM8T5qR7z3BJHB+PFKR4B%20J3nNx8HsFTx41mbB8/42ws9nOZg8ZkqXkRU9SWJS+D5nYcwM8oq4/Ny9N5GW1zWSgAtueY8V7juI%20LT9xvlpsNL1JFDi5z/J/Y0zLQIE9Uu48aVhn9hWkchAnOnuCRaKni+Ket0Lx+/CjtIfNvj/zO7+z%2081Tmtv3wX/3LnXueeHxn/3/6Tzu//uUvWwXpfIhEaujT1vJC4ILfvvjb9o3Ak/Z5Mxxh2husNgCU%20mjU9Gx65oi/n4LbwvnH8FVKQ47bczb7i2N52bM/O4099qxxtco3SKTf04P0PBNu/Z2fXs3t3nv/t%20R9nDMKwev5gWuRlEkOStPbwpXk9dwM37vabU0AHHVd/OtvahcQBzX0tH1GDkPCi4oIw70YSsxYO1%20PxS/6Fs/Emvn/sifnFPx6ay59y94lIHxezJhwClaJ7bTvendvjv9MpaTWN1ZnTk3fm2KyqYLFyWv%208MQGa1zaHEcwJYijPbUbISdCuDbxNT9QjaRowsLDLhdeSxF3asam2KZbWkKLbBzBR42Dl0m8DHf0%20mzEoK+vodgtFFC+aUHl65m49PrnsddeVKQ/f99qG5D3z+tC1wuPUZF3Yp1FQqVRbKFVrla+VeV3/%207oJZEN5Kq3em1LHUk/z3dVpn8l9K4ctnTK/ZwARCEgqelcu/JWeEzqhbQmYbdGkD66d15TS5sbgW%20fSKKZPdl7dOHQ8IStxc3m7VtI2wQjOqezXi516EfjedeUn1+5lA6APcmcYMyBFN9MQfqs+C1PJcb%20G/ZMSNTiiXhaMHBr47ArM3WYGAZ1/+5LGGv9T52e6GPxKYvNZW3biS1C7FBdTBLt3nvuyOffHYx0%20CiIcIvkDGf1TJkjHEGgwpVBAV7tW/5nWot0po8OrAHModNgMNQVxJrLzcRWvDmJTXj/EeRQ43riy%202JEfBtXag1dEGry0c1XEeKM3VJE7ZO0ikOs8GWNxJIb01Vdfixf9yYTweQ0FN4Nu9xV/XOW2v/71%20r+sFOogNHbeky/FEBiIg992S2ew7yEOITNmRfwybznLMvxv99R4muoSH+zk6icgBxMc7MgXdHEpR%20m5LdMdTxxtPpyzO5B+wgMFobRVkbPP9c/3vBjQ9ERnz9+uc/37kS+OqpRE93BM76r/71v25p/OsZ%20Oc/Ik5tTJwaX/9a3vtWzNmybT76BAGG4iqAubY1rss53Z6+ttev4orixTbBcCvNhMEliqkSMYek6%20RmYkM/HvX8PKiSH/bhg4P/jBd2MQv9x56cVAI3GoJKUNz63XGXk0Gupaz5Frp/8f/qXO4pYPIq9V%20rKJTTZW2fM71DlmNW84pSKJ01MBgztQvYqjkpOzzcgALUWS/6Q+OEsdI1OS8HMk6Y9zYS2tXB48T%202UpE98iZmtzI9V+lwuUHF2swTFKPXG8wY/UWLFqNQP7MwAlA9PDpeH4VmnyfLKZFiU0PhRks+U3D%20dBcSwusfADwHEywXfD3cCnuWglxhtwcZ1oEm09OJyXvUgZ9Mokpi4vpWkivc8BqkehMLKON1/esz%20mOtai+WxFqZ9WzeFXBqR0EKpYg66XgIOCJyzzAwt9JpsmWRBe+Bm0QcOUdmUwxXBwx89o78uXLRJ%20qlDScriGnhYFXDxoplxcPD/UsSsSF13XrTAhP1NquzulswsvX037C3lk4wgoOOLZ4IKtr889w4h5%2086UXog7lBlR8dSR5jJXCmzaUyToz1A68tb49mPmRNO1nySXkrN2X2T/hvr304lK0fHaEWJQkxLw1%20EABcl8dACZ/44mTpXT5jKuA0RJEMM1062GuFc2huBLCQVtgbJvYawQQru5yybN4F47EKcxysBZXY%20O014mhhTmp3DNIpQy1Me/tyfrzI1tkKD9+Jd6yVsH+5LuPzEk0/0ecEVPBEz+MiR398fxQXfF9FY%20216rzJDpjLawdmtNIVkvyTBOSBV/nv3BJIQXhk8hex8F34OYBRBl8sJFVfpon981rUbPRBmd3HOy%20nmb7g6MHZp0EtXuuTjMuyt0eCqdvzJ5a0xYN5XoPBpeVfC4jJNc7nnX65V/+ZaK426qkJLi8VvQE%20BuCNw489k4pL9yTKpZyWkpGgvRAYa/GRRRSfxOD7DM/s5/bj7rvuznTyhwrncMI6DCFrDgLcIxkb%202ArO+vab7xfOYnQfDB3xv//v/1UiyY8yOu21ngFrXcPl/LQL3HibS6FWzcH8/dzZzGvJgGdwH/6t%20yAukQCcoJPPelYt6LXTTdwKPuH8Mpc8CsVGKSsE5Ijxme9jp6LlW9UH22r9FPB8kGe5g63EhH7Py%20W1XGZE4eq85t8d1rMA4HaKEDhTmiQzkpx46FrRM5tl90DnhjdTfcdTKkd1QcmNyJZKoPHfpwcLpY%20LgmqtuPjKZl9x+ttxlXJsMVnpbKgygmzWE04uKHNOiylvJTxIqp73aL/sESr5PTMmfRZOH4hYcWU%20uFJiFr2Kn5e5eeYy0ot54Ge9H2GJTc09LbhlKWL3KnRfYYhr2bDlJU3/YXju4b6lWFgEkke6J2GU%200KaNSEJHuxDua/mWmUaivFOfWv1ri71nV8qpzLUvoQNFOITWFy9MuSolXHGjoJI0g6mBCg6k9Bt0%20sqhN1sMhMKkZ7ceBUxxDiCWlBp6ZPtT7y95IL4sop05m2DL+rD4cekpFYZZp5h8v5mCwa8pV6Ia+%20dSx/3hcPzz1/lEPVaCh4sl4NFFLZAinxdg/W65NMp6boJUCsK+Vs7TvRd8NEiyumssv15RgccNcd%20VkBrh8rrbI8PQiySyGf5vOmxMB4yehsD3qoonhNueRQIbxjXW+l8vX0FPlkrMiqLvzDqoVztpCnQ%20fYkyDux8+5mnqpRhszYBEwVURR7AI9Zc58LVYXApBPvEWHSQZYws2QRnOJgwWMpcIZBo4W//5m+q%202OtsbPimSM8eMCz4xquXrvtTWt5Bv9nLVbW1ZLCQn6o56yEZq++1trPWvOH1TvsFaxkAf+WdvvPe%20u/18xuCOGN57Aw/ckVzOZ5kXeSHl9oxXqaXF9k9N9p/ByOdby5mIMiOdFKm88srbjZS9jnxShM4b%20JcyLhrOLjMFZM6Q4eHL2C07NEOCTWx+RnHYKDwTSYsxELFg/b8XrFzkejVyK/CS5d5OVraCj0zwk%20nXOP0w53OOz27fgNXxQeE314/vZ3yHMsz9VzUazyJOdD8/zNc68kkfnJzj133brzgx8+VoPVyjpQ%20FcgwitEZIQcMT5voR2DlyLyG3C9kewpK8q92eZvoR8TivdauHONWNFbSO+8Ti4j8gsP8nnFvtLXB%20GLskDxRqnDoTfPeT8zt3334uWM7+1mu3g9M2waONO4DtPlhI7tBCZoQWWbjVT7iNUCzclkVcyrI3%20lwewmU+mkoggKR3mGRUbjWIrZJKv1QymC7JlGtdsq1LclG5KlITytHtXaFe6KW2jb2Ye+GapLIMD%20UUU8RmQZBn9OEmImChB4mz5YJ0x2qsok6ChA5P+OTWkCI12oeL95gcnLaDrT63e2qmOWhJsw7wjj%20GE2v6af2NQ3LolBvS7tNoRph5Sk8pJghr/8gtDgYvWb77fJUrz1Z6YRKmvfIDBc7ZWjAI7zO/P1i%20mjQ7RMZRNXzamhVfSKmw6dKn08vj6zaeDwRxOmwFU6CT9DqZcAw/mBfukOF5m0/IaqOonbg4HkUn%20BW+c0PbqYMTPxGhsTYHIyEybVuLKiOmVfbbY7xjR4Kqy9sXYWjPUgzaoQsLE7bmWZ+og3XnnwaE0%20bpFMZ8llMXkq/sQbZtyFoSZG41/PFPNJxnyZELbYtUkqjPDmObXrYO7/UEJuBxOsMw2LhJNzkLx+%20ut6lF0fog/33pfCJYyj8zFq/8ear2esLUciP7vzJP/ujNlOSgYezw2pn0MDkClZpew0FWmGuJ3nW%207P2WrV+fvSC+GxJJXP5y8NmW9kap65HhLME6KUHhtHJ+gyHMhnwnZd7vBFP+6tSTO99NW8ojgRYm%206thdI+JzT4T+RvlYBz/zXjCTcm5W8/0Yf9ddHrrXkjmFT2h3/q2KEY6tJ0t7RSvkKc9do6Rb8/Mj%20NeZgsg+SRHwpCVOMoh8k8fhYBgyLxF9LUZRIz/nUCqEFZaJXIV2RnugYTK5cE4+ZHEqky6N8HKjk%207Rigz8OL7/5ljZZnvZKMoC375BnvufvgzlPfejB7E8pqPsJ7PH9bPOTZVH36k9Ng1Bsc2ms4hmAV%20e1R8WM2CiA9nP/fHSHpeEFermevsTcThuUCOU76f/i7hezOEFDEDXZgmr93Fs5FQuClhdGoJ2kdX%20EuS220z5GLoNa9VyYEkmf1bZbU29YSabimlvis2DpUg6I2zDViggYZHFFtYJWXAgWV1YrEOjleAd%20aVqCPoUaJ+NtQWW8B+TOAaP4cgeXcohk9vekraIesziovGUMCF/lz24Kd/emiNcgRObV/Uuw3RlB%206eFrR7CZQNImPvnmgVj8E1k8LR3h06qyCqGwipuXi2KzPmspe4pzY69cS0qUz16VHY8798tS4rO2%208iseNHbBPfdMEQMYQEN/DeDhrZ7a4TsS7321YhTWnTozVWIDIbEO2xSNmfvTdRsT4N9jpBgTiQmH%20ljfy6ssXGnLzfnjqmArtRKZqTjMg3nafdzxaJa6tiKRI86Bt3A3DzZ9tiEOSs4AOJ1aAiRS7TVWR%207LmaRPAWpSgnl4zRt3p/2o8urJYS+ir3OfjxJNumK9tMaBhMdoyRJ7s9snosSb5GRvDojQbFQLpv%2077G/wkIyPNVisx6dYs3jzHs1awGVMQiw7u4vw6kiMJuJq05e3g+3VW+MyWsMlPdyimWOh7/72BOP%207TwVet/9qVCkJKoQy/GOl5VXL4eAzK8KL95yMfwNa/aZi09b3nzbEOjZMf1HwES2A+yyvFoQleub%206s3AuD+e3LnILQjkh7//BzuPpqjGfmPZYPXcl4KZxTPmYQvLKQhndvHlH0/V33KuFl0ULMETJY8d%20GpoP1suDjvgsScGv4oUeCmvF+XogUIpuf3BmrUDv1o41Su2lJHvlXB5N4Y6hxh+8814jDs4ISE6v%20izIOtij7hjyD4iqFI5xAfcqRB/akoAlrpjqER74ZtSpz65h9JSuS508++VChWFOMfv2bZ6uEvc6e%20KJmeqGxaEqiHwMPeHw/c3M3CYJsOKtaL4LA7yjj3Yoo9GZVDQLO0D4N9T9M1+kX0vVprrtYMdE2n%20nde5yd+1fjQC5oabVGrF8gb0X5VKH8dy8kh5O5reEArznHw1utyyv9MWcJR0/b78e0aiRNtvnnRH%20mSSkkRj8u4RywhOhsoNe+EI2NIthLhYLolQaTIImIwtKuLTK270nYWiufc6Ug5wXnPM4ev3eTSo2%20dbdKTZuk25J801UsrwC0u1bA/PNpNi466IJ49+b1z6DH9CbIQdLTVRjegakRoP0H4kWrDOw75muF%20tCu7WpJ8o4TtTDeUWWuH4jSwT8PwCB/rrSPUu+8GY4tCkKyRwS8VzXMSqIRLDh0smrDoN3tJA6WO%20uxcxzT2XG+45N0XsU4fCGCGBzwu58rly/LzNTnHwnu5bMDzE/zbXHse65i/rNRWWNPpARr4rTHmd%20azjYQlZegkipnGn0JpFcemxoWFr8L5SKSyZJ533xZXt9GOYRg1aDPZ+4oNH5N70HOjBg7zcZ9YGt%20MHWmchIWZ/iphjWaxRfO8gx55mKFXKA++/BKRQYtPzWuJwob5YlCXsB/HYk843iyhhPMs35xPF5g%20qiDJysdhZWgVoFrLXjBizgoJvPJQBgwkqvtenIm70+f6pVAbeb+NFnO9yTlkJmSUeZlELbjY2Et6%20Mzdi04VwDjRDoPCE8iNTkk6P5ffvhrZHgVKchb6Sn0DdPB15vhUbQOlvZOXFZ59vh7mHo1QaEues%20MfKogAQU+4VyGeM2Cswz9ewwEGC7Laos7z2/4/03+RRsmNfnuhTluzFACir08Cil7d67Omz12Zd+%20WwcHSQCV8RAeec69go30aKohFtkUBnFW5D5qEDefYmsReYskmiR4DsWpKH1rpcR9JuyIUr+Z4bmM%20t8Pg/IDnOosxa6q03BlZe7wwY86X9XknDb5EN08+9vjOQ08/0HUXJSzlXSYJ+Td4Nn+KvGDSb8f4%20OksSw2StyENka/H9Pc9KOq4IZUG1ux4IRsYbJhz3xEKR0ufCU3wufEWtF20Yq9zAkqNVZ2uUjIdf%20+PBSSg5Ae6BVCU21jfBpFmlGG9nQtxNGoYxQahMWXm7oY0N45qznc7Fef/xHf7zz41B2vIeXxWM4%20fTaVcV8F//IRetJQFDx1ysJgv9UTIZpXgxgHtYeTUtpCz26yZFMUfsPe3Gc5oBteVVy7rRqNx0m5%20L+8q93koxR5oNW0RWQW7VdP0cUdZLdretTCTksxrh8+9Vb1RFHovYVZkUaftYLi+W5mqxBPX+utg%20zyhQej132nIaVH+tSCOlx2hZ7mNvcG17MiHwhplv+zRJzlGow28NPJGJEDW4UUbwUG4WvPFm/QZA%20DO7T/c4m994lxJS0+t0aZeX3ZxOuixoklu7KvLLyZHm1WTMKys94DweSlCUHvYfwoi8l1OfBJcrL%20gMwk43BV8z73cYmy34xZaZWoYJtiLVad/wpndCYgpZ+18Owjcv37lfP5N68yP1gjoBh71K6R2/Fo%20zwfWaQly9mH6LUyidxg5eQ2AO/9j6Ci7V19+tcayspz7Z6AplZliHNw/kdPbcTRAIwwT5fJgin4o%20atFek1Cwbgm+TdbI7TSxGuPhcFK46G5Kl0vno5zzGs9qXY8miuKgcBJAC6Innv0VuQ3KNkbc2UVZ%20OxMF/VKKjz4PTADOYTA6pZunJ8LJn6sHg5DcPYvO0PWwFPxsMXN4jaRYEdTrb7weBXw5PYEfnrlz%209jfnzEw78FapW/k03dk6YmiDHDFIdudZnfX9MaSGE1dmcq025NE7ZjtbwvdVITkMhq3bWf7eBHbW%20bjEwer432qr94yCUQdV13pKpuUdjkfRZ9sVLVZFIkZbpoIGU9rfvvzcFVzEskqe+1vDlxRgTibXT%20Ze69SdbkMaaFqG6T6VWSNXD+VtLPz1c+6LN4/j57FRS1+KVDErdSYCEhL/RLHnEO/L5bgmcWxphu%20SlssPkpvOzD1hP1fq/ZGJfNKm9m/4ZuMrQPUXhf5/a3hNvI+Oq+q/S7GiyNAxW0TssvyCldMh346%204dVPfvKTnedf+O3OW7FW732UhnwnjVDJ4udwLTJJ/XMQA+yRsszGGR3jA9riEK67bTIB7OSACDol%20Vj8tDd07krvaC1ao61YywXntIvETVFlxh28ShttDb9bIa68p4y2cvFmntNzLxUyDnjaS8xlNQgbb%20hcMSon23pIVoQjvGpOvVNc+dxZPEs71RE3LlzFFm7dQV78aaec0wC6YIp3vBDfcYWwJkZaTPR4lT%20JCoGfbmeazTMbS9iq7WBKZtib7RRncSjNGhxRgPxqjt5IXt5z133lktqT+F37TsdL+aOMBfaiyKt%20UQ/F2F6O8v5MW9ZLwhPVb8HqeNe7hl0icrrKC8tnqwQtLheDVLiCoccK2JK0lcMmRgefF7p3cks+%20u8mvwkjmV/M05/pVtDVU3zSEGc8knGduhNdLtNaL9f6BoKZY48YoKDjfmSjLIzViGo4bbkvJg4sY%20FrQ1oTwPk4e8moxXWQhvG5oN/51B2Z2ooTMOy7iY+XCUK2qY5j5UGjojS6a3tEboIDNnRs4B1u9e%20yumnFI1/j+foPqzhLTlvZ6OE3/jy9cgfeRmaoDWbp5vkKNkt0yLXXoMmGv3ICYkStkiB7DpfDAbo%20hOJ7IwZIjw6snWOBJBRytFdD5O9IsP17Aw2UGsoYWNfs2b7I3QPBpxk1HjWlJ0op+2CDQTmC9vdM%20GBqUayEFBSO5nuvDrWtkwRhZwzkTU9HHaDR3syVTQRirqAY8xYEYgygCxuQ6NQpYa9gORr6jFa+D%20Kf/DZk6rcM3ryVuLevKBDMxiplgnHv/SHe59yAYTSS/HcHRI1tkCC218l1snG5qLPhTKT11/YVXe%203iSLi2zhvCelBItUza+2jRUF5KeayufPEZpRWP3IDQNqkC9Ek+x36COgwpM2nongwRF3p+JHeKdL%201UPJQGo/+fO/ey6HPVMw9iPMK83VlGZCvj01AHpYRBkD1ZG+Y6HADJqS35CDUw6xzwWPCPOFlg76%20dfe/QhfC2o78OWSUKKP1zWj5byZJ9PEbujtjUzVYD7k400AMK1s+m8DrrEbYlEuoa/EOTkVQj8Zo%20EK7eZ17XidSNKiKgKSk2XYoCK65t/TePG2VqxrZvcJHF3qKAxYBxm+7DWtlnCmm4v5T3sC42uLVb%20an+v2RoTb3vQYcbbtOQYCZ3rhNN70xMDRimhNJ3XLjdR427uuiehqvXHY1UyGzkjkhTQXjQqPUei%20qHnfPuBinpXBUpGI7wzrlVjxJaHaDPXI78hl/ud5QFsMBIYJD9veTzZ7IiIv7NBQ6573F4/NPj2e%20zP6d8e5e+s1vdj6JUhhlvQn1iHaTmGbFNQSNN5cLlUXE0DBAkoi8TDkAh5x3bq3BWm2mo5LPfkgC%20l486Cp8SFb6n7UhlxqHmdVLmPF/rOc18DNYMnAQqK0UPVWqSz9ca3mT9Ltn/QvaMed7U1tLThGcN%20NLV2M9dtjJWlLFsh90MZ+xPeS96vh99QFt0fR8S5fiB9QR5LLxLGASuk97o7neNi6K/K4+S6BwIr%20Ss5djoepjSW4hZxap7vuGNyZZ6rrH661pLEzPLjbNoA490Mh8tTh6gyce3N2V6gPMriUB25hEWcm%2073eP9ACd9XUdI8we7RPSEyWenGesBy/RHocTVCW3cHMU+uE7ppgNVdX6rIT8woBLJ+R1R/a7lvl7%202U2eL/KwaLDtJLhw71xn+mWM7ug0ouqADUa7vm3monx54KVQCEG1uXCXlxAOK2+hwr19yCav1/5Y%20GcSl+dfkgKWolqD3mpTypjiHrkOCNm8zmkHY8Ha6hKHKrNDlwP4bdo7cHsWYgwCQN1JFzG/B8Vgl%20hgoKUPLl981YnglpJ+nha3X4XzgrD8AGFhJB30ooNxzYy/ECEvZtZP9/aNH+zwe3yTQ0LGGVZ9ww%20Qp5ES5+z4TbODK/DR3BmjcL5oF74rVpkbkbM4S5WGyHqWHcrk7Wvx1bYaJT0ep61Z9NgZQzlqpGf%20BJ9iicGCV6Pt0vjsgvDOGXDlZXiv8/r7/ibcJhSkVKrkKOaIgkQLyKeVTGbJ4QKfy+EK7Y7SPx5v%20GFzQFHY8e2FqDUuup+dy5SnfV1JcQqHEsvb6ur/dGqP8+U3pybvBIe2nUkUsS2qPo0SyT2fCDjEs%2090D2Wohe76WiNIbm2lfd/1FEvIFbo1y/8zs/zaisj3feffWVdh0bmG3e6s8a6Nz7zfHmbgxzBUXM%202KwrUTqUBI7wschix2nlgPKYKWofMSOTYqxh3fnBGm/ld0uRMtwOugQbiiHFVxlqi9MZzku+cdpX%20IVB5+6WiDaZLXq6VFefaPOQx/JvS3f6cRvTbcE1rsf3b+ng+ClHP8NW0Z+C1WQPR5FQkghNvbjLw%20dLzW1QPceaNY2xo3/4luL6EmMjhZy70iVkYn+6XoiyLkMa9q1GxaP6tORb3jKTQhH5onrftYfP+F%20u8OBV+8cRsCa7CWHbSy2NeSpwKJWxtu+KdF+zp82sCUPtEVA1i8kgr53gxigAtfaXebt9Ee9ZAoc%205n91IqZCKD3vaHiTG/A59MfSh/Z+ck+M8Sb8nrUyFiPShjjucfOiVsXR/9WBhC23sLOey/XSPW73%20WkR/Ljd8HYDFsrje47j+M9pGc/u6ppTrRaZpc7A2WWkh8l13HYolTlezhlK3NosuEagE9QJlkIXt%200yk33KwXGozsr0PjOovPWYtFaGmh4rahoGz9TjsgMQoeT9LLWkqNx7g1q1kGqs9K6detHKpS+dbF%20t8arFfbaYBxW7BEd3laLRPQsTIbjn3+688jDKRuNF4mkXwofRbZNUlmeS4spKORNYDvtuR89h25V%20sHUA5yYggxvPfS0Ma2FpvX97b/LtaOJ/sI9rT6a0d2ACj8rjEM30sU352DR5E2PaI+Y62CFttBQP%20D7Z/JB7N6SibSzUsCcvatW4Eu4rJUNF8yqVOl5jDX1zNwbAeDle9iM1rte71LKa3AZlQGYaxM4p4%20K1FlPGwxIGLz/n0gI3Qi+/xieltI6MQ16gH6Jkm9rcXmdAxODVfPM8ZYWBGVh55J5Sq4gGfeaMW9%208Xobls5/PQObvFi4Oq4KVba9HOfkm9aPIAkKt97Tdg/LVeE91qPdorCJkMQeG6xib/p5cy6vP6/r%20LA6lcCCorkfudXc6vgn1Z7W29c11lkw3Ocrr3AyApNbx0NualEwkIhI4eUNYCnQE45r96iSWvK/J%20Y0YtfwcxtBd5BIZhKyxUYzGfPEJI1UwvDOfFOW4rzK03yGqq1OQ0uWgugF8WSFJ0yfhtcu/9nKly%20qfM8wxPWZyUNsKLsyQdlvPuWaYHZmoTcj6gHiXfBOG6rycyl/6673yas42wtw9r3rANUeYhTBT6r%20Ed7OsKetMr5p5/8DKI+CMINGym8AAAAASUVORK5CYII=" height="280" width="355" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 2.&nbsp; </span><span class="textfig">Conjunto formado por el tractor MF 275, la cosechadora KUHN MC 90S TWIN y el remolque.</span></div>
      <article class="section"><a id="id0x2145a00"><!-- named anchor --></a>
        <h4>-
          Métodos para la determinación de los costos energéticos del conjunto 
          tractor MF 275, la cosechadora KUHN MC 90S TWIN de maíz (Zea Mayz) 
          forrajero y el remolque</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Se utilizó la metodología para la determinación de los costos energéticos de ejecución de la operación agrícola, propuesta por <span class="tooltip"><a href="#B29">Paneque et al. (2009)</a><span class="tooltip-content">Paneque,
          R. P., Miranda, C. A., Abraham, F. N., &amp; Suárez, G. M. (2009). 
          Determinación de los costos energéticos y de explotación del sistema de 
          cultivo del arroz en seco. <i>Revista Ciencias Técnicas Agropecuarias</i>, 18(1), 7-10, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span> y apoyada por los antecedentes presentados por <span class="tooltip"><a href="#B2">ASAE (1993)</a><span class="tooltip-content">ASAE. (1993). <i>Agricultural Engineers Yearbook</i> (Data: EP391 and D230.3.). Arg. Mach. Mgt.</span></span>; <span class="tooltip"><a href="#B15">Fluck (1981</a><span class="tooltip-content">Fluck, R. C. (1981). Net energy sequestered in agricultural labor. <i>Transactions of the ASAE</i>, 24(6), 1449-1455.</span></span>, <span class="tooltip"><a href="#B16">1985)</a><span class="tooltip-content">Fluck, R. C. (1985). Energy sequestered in repairs and maintenance of agricultural machinery. <i>Transactions of the ASAE</i>, 28(3), 738-0744.</span></span>; <span class="tooltip"><a href="#B32">Stout (1990)</a><span class="tooltip-content">Stout, B. A. (1990). <i>Handbook of energy for world agriculture</i>. Elsevier.</span></span>,
          que se considera la más completa por tener en cuenta la totalidad de 
          los componentes necesarios en un proceso tecnológico agrícola donde 
          intervienen las máquinas agrícolas. Esta metodología determina los 
          costos energéticos totales de la operación agrícola mecanizada (MJ/h), 
          adicionando la energía requerida en los materiales de construcción 
          incluyendo la fabricación y transporte, combustible, lubricantes / 
          filtros, reparaciones / mantenimientos y la mano de obra necesaria para 
          operar los equipos.</p>
        <p> Los costos energéticos totales de la operación agrícola mecanizada <i>(EST</i> en <i>MJ/h)</i> del conjunto tractor MF 275 - maquina cosechadora KUHN MC 90S TWIN y el
          remolque para la recepción del forraje de maíz que se va cosechando, se
          calculó según la ecuación (<span class="tooltip"><a href="#e1">1</a><span class="tooltip-content">
          <math>
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            <mi>S</mi>
            <mi>m</mi>
            <mi>o</mi>
          </math>
          </span></span>):</p>
        <div id="e1" class="disp-formula">
          <math>
            <mi>E</mi>
            <mi>S</mi>
            <mi>T</mi>
            <mo>=</mo>
            <mi>E</mi>
            <mi>S</mi>
            <mi>m</mi>
            <mo>+</mo>
            <mi>E</mi>
            <mi>S</mi>
            <mi>c</mi>
            <mo>+</mo>
            <mi>E</mi>
            <mi>S</mi>
            <mi>l</mi>
            <mo>+</mo>
            <mi>E</mi>
            <mi>S</mi>
            <mi>m</mi>
            <mi>r</mi>
            <mo>+</mo>
            <mi>E</mi>
            <mi>S</mi>
            <mi>m</mi>
            <mi>o</mi>
          </math>
          <span class="labelfig"> &nbsp;(1)</span></div>
        <div style="clear:both"></div>
        <p>donde: </p>
        <p></p>
        <p><i>ESm</i> - energía requerida en los materiales, fabricación, y transporte, <i>MJ/h</i>; </p>
        <p><i>ESc</i> - energía requerida en combustible, MJ/h; </p>
        <p><i>ESl</i> - energía requerida en lubricantes/filtros, MJ/h; </p>
        <p><i>ESmr</i> - energía requerida en reparaciones/mantenimiento, MJ/h; </p>
        <p><i>ESmo</i> - energía requerida en mano de obra, MJ/h; </p>
        <p> La energía requerida en los materiales, fabricación, y transporte (<i>ESm)</i> se calculó usando la ecuación (<span class="tooltip"><a href="#e2">2</a><span class="tooltip-content">
          <math>
            <mi>E</mi>
            <mi>S</mi>
            <mi>m</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi>G</mi>
                <mi>t</mi>
                <mo>⋅</mo>
                <mi>E</mi>
                <mi>U</mi>
                <mi>t</mi>
              </mrow>
              <mrow>
                <mi>V</mi>
                <mi>U</mi>
                <mi>t</mi>
              </mrow>
            </mfrac>
            <mo>+</mo>
            <mfrac>
              <mrow>
                <mi>G</mi>
                <mi>m</mi>
                <mo>⋅</mo>
                <mi>E</mi>
                <mi>U</mi>
                <mi>m</mi>
              </mrow>
              <mrow>
                <mi>V</mi>
                <mi>U</mi>
                <mi>m</mi>
              </mrow>
            </mfrac>
            <mo>+</mo>
            <mfrac>
              <mrow>
                <mi>G</mi>
                <mi>r</mi>
                <mo>⋅</mo>
                <mi>E</mi>
                <mi>U</mi>
                <mi>r</mi>
              </mrow>
              <mrow>
                <mi>V</mi>
                <mi>U</mi>
                <mi>r</mi>
              </mrow>
            </mfrac>
          </math>
          </span></span>):</p>
        <div id="e2" class="disp-formula">
          <math>
            <mi>E</mi>
            <mi>S</mi>
            <mi>m</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi>G</mi>
                <mi>t</mi>
                <mo>⋅</mo>
                <mi>E</mi>
                <mi>U</mi>
                <mi>t</mi>
              </mrow>
              <mrow>
                <mi>V</mi>
                <mi>U</mi>
                <mi>t</mi>
              </mrow>
            </mfrac>
            <mo>+</mo>
            <mfrac>
              <mrow>
                <mi>G</mi>
                <mi>m</mi>
                <mo>⋅</mo>
                <mi>E</mi>
                <mi>U</mi>
                <mi>m</mi>
              </mrow>
              <mrow>
                <mi>V</mi>
                <mi>U</mi>
                <mi>m</mi>
              </mrow>
            </mfrac>
            <mo>+</mo>
            <mfrac>
              <mrow>
                <mi>G</mi>
                <mi>r</mi>
                <mo>⋅</mo>
                <mi>E</mi>
                <mi>U</mi>
                <mi>r</mi>
              </mrow>
              <mrow>
                <mi>V</mi>
                <mi>U</mi>
                <mi>r</mi>
              </mrow>
            </mfrac>
          </math>
          <span class="labelfig"> &nbsp;(2)</span></div>
        <div style="clear:both"></div>
        <p>donde: </p>
        <p></p>
        <p>Gt,
          Gm, Gr
          - masa del tractor, la cosechadora de forraje y del remolque 
          respectivamente, kg; obtenidos de los catálogos de los fabricantes según <span class="tooltip"><a href="#B1">Agroterra (2015)</a><span class="tooltip-content">Agroterra. (2015). <i>Especificaciones de remolque o tara de pequeño tonelaje</i>. Agroterra. <a href="http://www.agroterra.com/" target="xrefwindow">http://www.agroterra.com/</a> </span></span>; <span class="tooltip"><a href="#B6">Crespo (2015)</a><span class="tooltip-content">Crespo, P. (2015). <i>Determinación
          de los indicadores tecnológicos, costos energéticos y de explotación 
          del conjunto tractor MF 275 y la cosechadora de maíz forrajero KUHN MC 
          90S TWIN</i> [Tesis para optar por el título de Master en Maquinaria 
          Agrícola)]. Universidad Politécnica Tecnológica del Estado de Trujillo, 
          Venezuela.</span></span>. </p>
        <p>EUt, EUm, EUr
          - energía por unidad de masa del tractor, la cosechadora de forraje y el remolque respectivamente, MJ/kg; según <span class="tooltip"><a href="#t1">Tabla 1</a></span>. </p>
        <p>VUt, VUm, VUr
          - vida útil del tractor, la cosechadora de forraje y el remolque respectivamente, h, según <span class="tooltip"><a href="#B6">Crespo (2015)</a><span class="tooltip-content">Crespo, P. (2015). <i>Determinación
          de los indicadores tecnológicos, costos energéticos y de explotación 
          del conjunto tractor MF 275 y la cosechadora de maíz forrajero KUHN MC 
          90S TWIN</i> [Tesis para optar por el título de Master en Maquinaria 
          Agrícola)]. Universidad Politécnica Tecnológica del Estado de Trujillo, 
          Venezuela.</span></span>; <span class="tooltip"><a href="#B19">Frank (1998)</a><span class="tooltip-content">Frank, R. (1998). Costos de la Maquinaria Agrícola. <i>Cátedra de Administración Rural</i>, FAUBA.</span></span>. </p>
        <p> Los valores de <i>EU</i> se obtuvieron de <span class="tooltip"><a href="#B16">Fluck (1985, 1985</a><span class="tooltip-content">Fluck, R. C. (1985). Energy sequestered in repairs and maintenance of agricultural machinery. <i>Transactions of the ASAE</i>, 28(3), 738-0744.</span></span>, <span class="tooltip"><a href="#B18">2012)</a><span class="tooltip-content">Fluck, R. C. (2012). <i>Energy in farm production</i>. Elsevier.</span></span>; <span class="tooltip"><a href="#B21">Hetz &amp; Barrios (1997)</a><span class="tooltip-content">Hetz,
          E., &amp; Barrios, A. (1997). Reducción del costo energético de 
          labranza/siembra utilizando sistemas conservacionistas en Chile. <i>Agro-Ciencia</i>, 13(1), 41-47.</span></span>; <span class="tooltip"><a href="#B32">Stout (1990)</a><span class="tooltip-content">Stout, B. A. (1990). <i>Handbook of energy for world agriculture</i>. Elsevier.</span></span>, presentados en la <span class="tooltip"><a href="#t1">Tabla 1</a></span>. </p>
        <p> La energía correspondiente al combustible utilizado (<i>ESc)</i> se calculó con el estándar propuesto por <span class="tooltip"><a href="#B2">ASAE (1993)</a><span class="tooltip-content">ASAE. (1993). <i>Agricultural Engineers Yearbook</i> (Data: EP391 and D230.3.). Arg. Mach. Mgt.</span></span> citados por <span class="tooltip"><a href="#B29">Paneque et al. (2009)</a><span class="tooltip-content">Paneque,
          R. P., Miranda, C. A., Abraham, F. N., &amp; Suárez, G. M. (2009). 
          Determinación de los costos energéticos y de explotación del sistema de 
          cultivo del arroz en seco. <i>Revista Ciencias Técnicas Agropecuarias</i>, 18(1), 7-10, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span> y <span class="tooltip"><a href="#B5">Crespo et al. (2018)</a><span class="tooltip-content">Crespo,
          A. R. M., Paneque, R. P., &amp; Miranda, C. A. (2018). Determinación 
          del costo energético y de explotación de la cosecha mecanizada del 
          arroz. <i>Revista Ciencias Técnicas Agropecuarias</i>, 27(2), 1-10, ISSN: 2071-0054.</span></span> según la ecuación (<span class="tooltip"><a href="#e3">3</a><span class="tooltip-content">
          <math>
            <mi>E</mi>
            <mi>S</mi>
            <mi>c</mi>
            <mo>=</mo>
            <mi>C</mi>
            <mi>h</mi>
            <mo>⋅</mo>
            <mi>E</mi>
            <mi>e</mi>
          </math>
          </span></span>):</p>
        <div id="e3" class="disp-formula">
          <math>
            <mi>E</mi>
            <mi>S</mi>
            <mi>c</mi>
            <mo>=</mo>
            <mi>C</mi>
            <mi>h</mi>
            <mo>⋅</mo>
            <mi>E</mi>
            <mi>e</mi>
          </math>
          <span class="labelfig"> &nbsp;(3)</span></div>
        <div style="clear:both"></div>
        <p>donde:</p>
        <p></p>
        <p><i>C</i><sub><i>h</i></sub> - gasto horario de combustible en tiempo de explotación, L/h, obtenido según <span class="tooltip"><a href="#B6">Crespo (2015)</a><span class="tooltip-content">Crespo, P. (2015). <i>Determinación
          de los indicadores tecnológicos, costos energéticos y de explotación 
          del conjunto tractor MF 275 y la cosechadora de maíz forrajero KUHN MC 
          90S TWIN</i> [Tesis para optar por el título de Master en Maquinaria 
          Agrícola)]. Universidad Politécnica Tecnológica del Estado de Trujillo, 
          Venezuela.</span></span>. </p>
        <p><i>E</i><sub><i>e</i></sub> - equivalencia de la energía específica del combustible, MJ/L, según <span class="tooltip"><a href="#t1">Tabla 1</a></span>. </p>
        <div class="table" id="t1"><span class="labelfig">TABLA 1.&nbsp; </span><span class="textfig">Equivalencias energéticas de los insumos</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col>
                <col>
                <col>
                </colgroup>
                <thead>
                  <tr>
                    <th align="justify">Insumos</th>
                    <th align="justify">Equivalencias MJ/(unidad)</th>
                    <th align="center">Fuente</th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="center">Jornada hombre (8 h)</td>
                    <td align="center">18,2</td>
                    <td align="center">(<span class="tooltip"><a href="#B15">Fluck, 1981</a><span class="tooltip-content">Fluck, R. C. (1981). Net energy sequestered in agricultural labor. <i>Transactions of the ASAE</i>, 24(6), 1449-1455.</span></span>)</td>
                  </tr>
                  <tr>
                    <td align="center">1 L Gas oil</td>
                    <td align="center">47,8 MJ/L</td>
                    <td align="center">(<span class="tooltip"><a href="#B17">Fluck, 1992</a><span class="tooltip-content">Fluck, R. C. (1992). Energy for farm production. En:<i>Energy for World Agriculture</i>, USA.</span></span>)</td>
                  </tr>
                  <tr>
                    <td align="center">Tractor</td>
                    <td align="center">109,0 MJ/kg</td>
                    <td align="center">(<span class="tooltip"><a href="#B17">Fluck, 1992</a><span class="tooltip-content">Fluck, R. C. (1992). Energy for farm production. En:<i>Energy for World Agriculture</i>, USA.</span></span>)</td>
                  </tr>
                  <tr>
                    <td align="center">Cosechadora de forraje</td>
                    <td align="center">87,6 MJ/kg</td>
                    <td align="center">(<span class="tooltip"><a href="#B17">Fluck, 1992</a><span class="tooltip-content">Fluck, R. C. (1992). Energy for farm production. En:<i>Energy for World Agriculture</i>, USA.</span></span>)</td>
                  </tr>
                  <tr>
                    <td align="center">Remolque</td>
                    <td align="center">66,0 MJ/kg</td>
                    <td align="center">(<span class="tooltip"><a href="#B17">Fluck, 1992</a><span class="tooltip-content">Fluck, R. C. (1992). Energy for farm production. En:<i>Energy for World Agriculture</i>, USA.</span></span>)</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p> La energía correspondiente a lubricantes/filtros (<i>ESl)</i> y reparaciones/mantenimiento (<i>ESmr)</i> se calculó según lo propuesto por <span class="tooltip"><a href="#B16">Fluck (1985)</a><span class="tooltip-content">Fluck, R. C. (1985). Energy sequestered in repairs and maintenance of agricultural machinery. <i>Transactions of the ASAE</i>, 28(3), 738-0744.</span></span> y calculados por <span class="tooltip"><a href="#B11">De las Cuevas et al. (2017)</a><span class="tooltip-content">de
          las Cuevas-Milán, M. H. R., Gómez, R. I., Herrera, P. M. I., &amp; 
          Paneque, R. P. (2017). Sistema automatizado para la determinación de los
          costos energéticos y de explotación de máquinas autopropulsadas. <i>Revista Ciencias Técnicas Agropecuarias</i>, 26(2), 80-88, ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B24">Miranda et al. (2016)</a><span class="tooltip-content">Miranda,
          C. A., Paneque, R. P., Abram, F. N., Ribet, M. Y., &amp; Santos, G. F. 
          (2016). Determinación del costo energético de la cosecha mecanizada del 
          arroz. <i>Revista Ciencias Técnicas Agropecuarias</i>, 25(4), 32-38, ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B30">Pereira et al. (2016)</a><span class="tooltip-content">Pereira,
          C. J. R., de las Cuevas, H. R., García de la Figal, A., &amp; Fernández
          de Castro Fabre, A. (2016). Costo energético y tiempos tecnológicos del
          tractor Belarus-M510 con cultivador-fertilizador CIVEMASA en caña de 
          azúcar. <i>Revista Ciencias Técnicas Agropecuarias</i>, 25(2), 22-26, ISSN: 2071-0054.</span></span> como 5% de la energía del combustible y 129% de la energía 
          correspondiente a materiales, fabricación y transporte respectivamente, 
          lo cual se expresa de la siguiente forma:</p>
        <div id="e4" class="disp-formula">
          <math>
            <mi>E</mi>
            <mi>S</mi>
            <mi>l</mi>
            <mo>=</mo>
            <mn>0,05</mn>
            <mo>⋅</mo>
            <mi>E</mi>
            <mi>S</mi>
            <mi>c</mi>
          </math>
          <span class="labelfig"> &nbsp;(4)</span></div>
        <div style="clear:both"></div>
        <div id="e5" class="disp-formula">
          <math>
            <mi>E</mi>
            <mi>S</mi>
            <mi>m</mi>
            <mi>r</mi>
            <mo>=</mo>
            <mn>1</mn>
            <mo>,</mo>
            <mn>29</mn>
            <mo>⋅</mo>
            <mi>E</mi>
            <mi>S</mi>
            <mi>m</mi>
          </math>
          <span class="labelfig"> &nbsp;(5)</span></div>
        <div style="clear:both"></div>
        <p> El costo energético de la mano de obra (<i>ESmo</i>), se estableció según lo propuesto por <span class="tooltip"><a href="#B15">Fluck (1981)</a><span class="tooltip-content">Fluck, R. C. (1981). Net energy sequestered in agricultural labor. <i>Transactions of the ASAE</i>, 24(6), 1449-1455.</span></span>, según <span class="tooltip"><a href="#t1">Tabla 1</a></span>.</p>
        <p>Finalmente,
          los costos energéticos totales de la operación agrícola mecanizada por 
          unidad de masa cosechada (ESt) en MJ/t, se determinan, según la 
          siguiente <span class="tooltip"><a href="#e6">expresión</a><span class="tooltip-content">
          <math>
            <mi>E</mi>
            <mi>S</mi>
            <mi>t</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi>E</mi>
                <mi>S</mi>
                <mi>T</mi>
              </mrow>
              <mrow>
                <msub>
                  <mrow>
                    <mi>W</mi>
                  </mrow>
                  <mrow>
                    <mn>07</mn>
                  </mrow>
                </msub>
              </mrow>
            </mfrac>
          </math>
          </span></span>:</p>
        <div id="e6" class="disp-formula">
          <math>
            <mi>E</mi>
            <mi>S</mi>
            <mi>t</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi>E</mi>
                <mi>S</mi>
                <mi>T</mi>
              </mrow>
              <mrow>
                <msub>
                  <mrow>
                    <mi>W</mi>
                  </mrow>
                  <mrow>
                    <mn>07</mn>
                  </mrow>
                </msub>
              </mrow>
            </mfrac>
          </math>
          <span class="labelfig"> &nbsp;(6)</span></div>
        <div style="clear:both"></div>
        <p>donde:</p>
        <p>W<sub>07</sub> - productividad horaria en tiempo de explotación, t/h; obtenida de forma experimental, según <span class="tooltip"><a href="#B6">Crespo (2015)</a><span class="tooltip-content">Crespo, P. (2015). <i>Determinación
          de los indicadores tecnológicos, costos energéticos y de explotación 
          del conjunto tractor MF 275 y la cosechadora de maíz forrajero KUHN MC 
          90S TWIN</i> [Tesis para optar por el título de Master en Maquinaria 
          Agrícola)]. Universidad Politécnica Tecnológica del Estado de Trujillo, 
          Venezuela.</span></span>.</p>
      </article>
      <article class="section"><a id="id0x212e380"><!-- named anchor --></a>
        <h4>-
          Métodos para la determinación de los costos de explotación del conjunto
          tractor MF 275, la cosechadora KUHN MC 90S TWIN de maíz (Zea Mayz) 
          forrajero y el remolque.<span class="tooltip"><a href="#B6">Crespo (2015)</a><span class="tooltip-content">Crespo, P. (2015). <i>Determinación
          de los indicadores tecnológicos, costos energéticos y de explotación 
          del conjunto tractor MF 275 y la cosechadora de maíz forrajero KUHN MC 
          90S TWIN</i> [Tesis para optar por el título de Master en Maquinaria 
          Agrícola)]. Universidad Politécnica Tecnológica del Estado de Trujillo, 
          Venezuela.</span></span> <span class="tooltip"><a href="#B19">Frank, 1998</a><span class="tooltip-content">Frank, R. (1998). Costos de la Maquinaria Agrícola. <i>Cátedra de Administración Rural</i>, FAUBA.</span></span> </h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>En las labores
          agrícolas en particular y en el orden económico en general, los costos 
          de producción se consideran de vital importancia, la disminución de 
          estos depende en gran medida de la correcta utilización de la técnica 
          para la ejecución de las labores. Para la determinación de los costos de
          explotación de la operación mecanizada, se desarrolló una metodología 
          de cálculo a partir de la norma cubana <span class="tooltip"><a href="#B25">NC 34-38 (3003)</a><span class="tooltip-content">NC 34-38: 03. (3003). <i>Máquinas agrícolas y forestales. Metodología para la evaluación económica</i> [Norma cubana]. Oficina Nacional de Normalización (NC).</span></span>, adaptada al conjunto objeto de estudio., según la <span class="tooltip"><a href="#e7">expresión 7</a><span class="tooltip-content">
          <math>
            <mi>G</mi>
            <mi>d</mi>
            <mi></mi>
            <mo>=</mo>
            <mi></mi>
            <mo>(</mo>
            <mi>S</mi>
            <mo>+</mo>
            <mi>A</mi>
            <mo>+</mo>
            <mi>R</mi>
            <mo>+</mo>
            <mi>C</mi>
            <mo>+</mo>
            <mi>O</mi>
            <mo>)</mo>
          </math>
          </span></span>. </p>
        <p>Los costos directos de explotación (G<sub>d</sub>) en Bs/h, de la operación agrícola mecanizada, se determinan como:</p>
        <div id="e7" class="disp-formula">
          <math>
            <mi>G</mi>
            <mi>d</mi>
            <mi></mi>
            <mo>=</mo>
            <mi></mi>
            <mo>(</mo>
            <mi>S</mi>
            <mo>+</mo>
            <mi>A</mi>
            <mo>+</mo>
            <mi>R</mi>
            <mo>+</mo>
            <mi>C</mi>
            <mo>+</mo>
            <mi>O</mi>
            <mo>)</mo>
          </math>
          <span class="labelfig"> &nbsp;(7)</span></div>
        <div style="clear:both"></div>
        <p>donde:</p>
        <p></p>
        <p><i>S</i> -salario del personal de servicio, Bs/h; </p>
        <p><i>A</i><i>-</i>amortización de la maquinaria, Bs/h; </p>
        <p><i>R</i> -reparaciones y mantenimientos, Bs/h; </p>
        <p><i>C</i> -combustibles y lubricantes, Bs/h; </p>
        <p><i>O</i> -otros gastos, Bs/h. </p>
        <p> El salario del personal de servicio <i>(S)</i> en Bs/h<i>,</i> se determina por la siguiente <span class="tooltip"><a href="#e8">expresión</a><span class="tooltip-content">
          <math>
            <mi>S</mi>
            <mo>=</mo>
            <mi>S</mi>
            <mi>t</mi>
            <mo>+</mo>
            <mo>(</mo>
            <mi>S</mi>
            <mi>o</mi>
            <mi>a</mi>
            <mi>x</mi>
            <mo>·</mo>
            <mi>N</mi>
            <mi>o</mi>
            <mi>a</mi>
            <mi>x</mi>
            <mo>)</mo>
          </math>
          </span></span>:</p>
        <div id="e8" class="disp-formula">
          <math>
            <mi>S</mi>
            <mo>=</mo>
            <mi>S</mi>
            <mi>t</mi>
            <mo>+</mo>
            <mo>(</mo>
            <mi>S</mi>
            <mi>o</mi>
            <mi>a</mi>
            <mi>x</mi>
            <mo>·</mo>
            <mi>N</mi>
            <mi>o</mi>
            <mi>a</mi>
            <mi>x</mi>
            <mo>)</mo>
          </math>
          <span class="labelfig"> &nbsp;(8)</span></div>
        <div style="clear:both"></div>
        <p>donde:</p>
        <p></p>
        <p><i>St</i> - salario horario del operador del tractor, Bs/h; </p>
        <p><i>Soax</i> - salario horario de los obreros auxiliares, Bs/h; </p>
        <p><i>Noax</i> - número de obreros auxiliares. </p>
        <p> La amortización o renovación <i>(A)</i> en Bs/h, se calculó mediante la siguiente <span class="tooltip"><a href="#e9">expresión</a><span class="tooltip-content">
          <math>
            <mi>A</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <msub>
                  <mrow>
                    <mi>P</mi>
                  </mrow>
                  <mrow>
                    <mi>t</mi>
                  </mrow>
                </msub>
                <mo>⋅</mo>
                <msub>
                  <mrow>
                    <mi>A</mi>
                  </mrow>
                  <mrow>
                    <mi>t</mi>
                  </mrow>
                </msub>
              </mrow>
              <mrow>
                <msub>
                  <mrow>
                    <mi>T</mi>
                  </mrow>
                  <mrow>
                    <mi>t</mi>
                  </mrow>
                </msub>
              </mrow>
            </mfrac>
            <mo>+</mo>
            <mfrac>
              <mrow>
                <msub>
                  <mrow>
                    <mi>P</mi>
                  </mrow>
                  <mrow>
                    <mi>m</mi>
                  </mrow>
                </msub>
                <mo>⋅</mo>
                <msub>
                  <mrow>
                    <mi>A</mi>
                  </mrow>
                  <mrow>
                    <mi>m</mi>
                  </mrow>
                </msub>
              </mrow>
              <mrow>
                <msub>
                  <mrow>
                    <mi>T</mi>
                  </mrow>
                  <mrow>
                    <mi>m</mi>
                  </mrow>
                </msub>
              </mrow>
            </mfrac>
            <mo>+</mo>
            <mfrac>
              <mrow>
                <msub>
                  <mrow>
                    <mi>P</mi>
                  </mrow>
                  <mrow>
                    <mi>r</mi>
                  </mrow>
                </msub>
                <mo>⋅</mo>
                <msub>
                  <mrow>
                    <mi>A</mi>
                  </mrow>
                  <mrow>
                    <mi>r</mi>
                  </mrow>
                </msub>
              </mrow>
              <mrow>
                <msub>
                  <mrow>
                    <mi>T</mi>
                  </mrow>
                  <mrow>
                    <mi>r</mi>
                  </mrow>
                </msub>
              </mrow>
            </mfrac>
          </math>
          </span></span>:</p>
        <div id="e9" class="disp-formula">
          <math>
            <mi>A</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <msub>
                  <mrow>
                    <mi>P</mi>
                  </mrow>
                  <mrow>
                    <mi>t</mi>
                  </mrow>
                </msub>
                <mo>⋅</mo>
                <msub>
                  <mrow>
                    <mi>A</mi>
                  </mrow>
                  <mrow>
                    <mi>t</mi>
                  </mrow>
                </msub>
              </mrow>
              <mrow>
                <msub>
                  <mrow>
                    <mi>T</mi>
                  </mrow>
                  <mrow>
                    <mi>t</mi>
                  </mrow>
                </msub>
              </mrow>
            </mfrac>
            <mo>+</mo>
            <mfrac>
              <mrow>
                <msub>
                  <mrow>
                    <mi>P</mi>
                  </mrow>
                  <mrow>
                    <mi>m</mi>
                  </mrow>
                </msub>
                <mo>⋅</mo>
                <msub>
                  <mrow>
                    <mi>A</mi>
                  </mrow>
                  <mrow>
                    <mi>m</mi>
                  </mrow>
                </msub>
              </mrow>
              <mrow>
                <msub>
                  <mrow>
                    <mi>T</mi>
                  </mrow>
                  <mrow>
                    <mi>m</mi>
                  </mrow>
                </msub>
              </mrow>
            </mfrac>
            <mo>+</mo>
            <mfrac>
              <mrow>
                <msub>
                  <mrow>
                    <mi>P</mi>
                  </mrow>
                  <mrow>
                    <mi>r</mi>
                  </mrow>
                </msub>
                <mo>⋅</mo>
                <msub>
                  <mrow>
                    <mi>A</mi>
                  </mrow>
                  <mrow>
                    <mi>r</mi>
                  </mrow>
                </msub>
              </mrow>
              <mrow>
                <msub>
                  <mrow>
                    <mi>T</mi>
                  </mrow>
                  <mrow>
                    <mi>r</mi>
                  </mrow>
                </msub>
              </mrow>
            </mfrac>
          </math>
          <span class="labelfig"> &nbsp;(9)</span></div>
        <div style="clear:both"></div>
        <p></p>
        <p><i>P<sub>t</sub>,P<sub>m</sub>,P<sub>r</sub></i> - Precio del tractor, la máquina agrícola y el remolque respectivamente, Bs; según catálogos del fabricante y <span class="tooltip"><a href="#B6">Crespo (2015)</a><span class="tooltip-content">Crespo, P. (2015). <i>Determinación
          de los indicadores tecnológicos, costos energéticos y de explotación 
          del conjunto tractor MF 275 y la cosechadora de maíz forrajero KUHN MC 
          90S TWIN</i> [Tesis para optar por el título de Master en Maquinaria 
          Agrícola)]. Universidad Politécnica Tecnológica del Estado de Trujillo, 
          Venezuela.</span></span></p>
        <p><i>A<sub>t</sub>,A<sub>m</sub>,A<sub>r</sub></i> - Coeficiente de amortización del tractor, la máquina agrícola y el remolque; 12, 12 y 10% respectivamente, según (<span class="tooltip"><a href="#B19">Frank, 1998</a><span class="tooltip-content">Frank, R. (1998). Costos de la Maquinaria Agrícola. <i>Cátedra de Administración Rural</i>, FAUBA.</span></span>). </p>
        <p><i>T<sub>t</sub>,T<sub>m</sub>,T<sub>r</sub></i> - Carga anual del tractor, la máquina agrícola y el remolque 
          respectivamente, h, tomado de los registros de la unidad de producción 
          La Ceibana. Se determina según los días de trabajo anuales de la maquina
          en el plazo agrotécnico por la cantidad de horas de trabajo diario. </p>
        <p> Los costos por reparaciones y el mantenimiento técnico (R) en Bs/h, se determinó mediante la expresión:</p>
        <div id="e10" class="disp-formula">
          <math>
            <mi>R</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <msub>
                  <mrow>
                    <mi>P</mi>
                  </mrow>
                  <mrow>
                    <mi>t</mi>
                  </mrow>
                </msub>
                <mo>⋅</mo>
                <msub>
                  <mrow>
                    <mi>R</mi>
                  </mrow>
                  <mrow>
                    <mi>t</mi>
                  </mrow>
                </msub>
              </mrow>
              <mrow>
                <msub>
                  <mrow>
                    <mi>T</mi>
                  </mrow>
                  <mrow>
                    <mi>t</mi>
                  </mrow>
                </msub>
              </mrow>
            </mfrac>
            <mo>+</mo>
            <mfrac>
              <mrow>
                <msub>
                  <mrow>
                    <mi>P</mi>
                  </mrow>
                  <mrow>
                    <mi>m</mi>
                  </mrow>
                </msub>
                <mo>⋅</mo>
                <msub>
                  <mrow>
                    <mi>R</mi>
                  </mrow>
                  <mrow>
                    <mi>m</mi>
                  </mrow>
                </msub>
              </mrow>
              <mrow>
                <msub>
                  <mrow>
                    <mi>T</mi>
                  </mrow>
                  <mrow>
                    <mi>m</mi>
                  </mrow>
                </msub>
              </mrow>
            </mfrac>
            <mo>+</mo>
            <mfrac>
              <mrow>
                <msub>
                  <mrow>
                    <mi>P</mi>
                  </mrow>
                  <mrow>
                    <mi>r</mi>
                  </mrow>
                </msub>
                <mo>⋅</mo>
                <msub>
                  <mrow>
                    <mi>R</mi>
                  </mrow>
                  <mrow>
                    <mi>r</mi>
                  </mrow>
                </msub>
              </mrow>
              <mrow>
                <msub>
                  <mrow>
                    <mi>T</mi>
                  </mrow>
                  <mrow>
                    <mi>r</mi>
                  </mrow>
                </msub>
              </mrow>
            </mfrac>
          </math>
          <span class="labelfig"> &nbsp;(10)</span></div>
        <div style="clear:both"></div>
        <p>donde:</p>
        <p></p>
        <p><i>R<sub>t</sub>,R<sub>m</sub>,R<sub>r</sub></i> - Coeficiente de reparación y mantenimiento del tractor, la 
          máquina agrícola y el remolque respectivamente; según FAO, 1991. </p>
        <p> El cálculo de los costos por concepto de consumo de combustible (C) en Bs/h, se realiza por la expresión siguiente:</p>
        <div id="e11" class="disp-formula">
          <math>
            <mi>C</mi>
            <mo>=</mo>
            <mi></mi>
            <mo>(</mo>
            <msub>
              <mrow>
                <mi>C</mi>
              </mrow>
              <mrow>
                <mi>h</mi>
              </mrow>
            </msub>
            <mo>·</mo>
            <mi>P</mi>
            <mi>c</mi>
            <mo>)</mo>
          </math>
          <span class="labelfig"> &nbsp;(11)</span></div>
        <div style="clear:both"></div>
        <p>donde:</p>
        <p></p>
        <p><i>P<sub>c</sub></i> - precio complejo de los combustibles, lubricantes, Bs/L. </p>
        <p>En el caso de otros costos de explotación (O) no existen durante el proceso tecnológico de la cosecha del maíz forrajero.</p>
        <p>Los
          costos de explotación por unidad de masa cosechada (Gex) en Bs/t, en la
          ejecución de las labores agrícolas mecanizadas, se representan por la 
          expresión siguiente:</p>
        <div id="e12" class="disp-formula">
          <math>
            <mi>G</mi>
            <mi>e</mi>
            <mi>x</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi>G</mi>
                <mi>d</mi>
              </mrow>
              <mrow>
                <msub>
                  <mrow>
                    <mi>W</mi>
                  </mrow>
                  <mrow>
                    <mn>07</mn>
                  </mrow>
                </msub>
              </mrow>
            </mfrac>
          </math>
          <span class="labelfig"> &nbsp;(12)</span></div>
        <div style="clear:both"></div>
        <p>Por otro lado, los costos por unidad de energía requerida total en el proceso de cosecha de forraje (G<sub>ent</sub>) en Bs/MJ, se determinan de la siguiente forma:</p>
        <div id="e13" class="disp-formula">
          <math>
            <mi>G</mi>
            <mi>e</mi>
            <mi>n</mi>
            <mi>t</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi>G</mi>
                <mi>d</mi>
              </mrow>
              <mrow>
                <mi>E</mi>
                <mi>S</mi>
                <mi>T</mi>
              </mrow>
            </mfrac>
          </math>
          <span class="labelfig"> &nbsp;(13)</span></div>
        <div style="clear:both"></div>
      </article>
    </article>
    <article class="section"><a id="id0x344c600"><!-- named anchor --></a>
      <h3>RESULTADOS Y DISCUSIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <article class="section"><a id="id0x344c880"><!-- named anchor --></a>
        <h4>- Resultados de los costos energéticos del conjunto tractor MF 275, cosechadora de forraje KUHN MC 90S TWIN y remolque.</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>En la <span class="tooltip"><a href="#t2">Tabla 2</a></span> se muestran los resultados obtenidos en MJ/h y el porcentaje con 
          respecto al total de los diferentes componentes de los costos 
          energéticos del conjunto formado por el tractor MF 275, la cosechadora 
          KUHN MC90S TWIN y el remolque. Como se observa, los costos por energía 
          requerida en combustible ascienden a 600,37 MJ/h para un 74,6%, 
          representando el máximo valor obtenido y superior al resultado obtenido 
          por <span class="tooltip"><a href="#B31">Ramos et al. (2012)</a><span class="tooltip-content">Ramos,
          G. R., Cruz, S. M., &amp; Navarro, R. I. (2012). Determinación del 
          costo energético de la cosecha de forrajes para el ganado vacuno en 
          Cuba. <i>Revista Ciencias Técnicas Agropecuarias</i>, 21(1), 73-78, ISSN: 2071-0054.</span></span> al evaluar el conjunto tractor-YUMZ y las cosechadoras SPKZ-160 y FRAGA
          modelo P-150, lo que significa que la fuente de energía ocupa la 
          principal dependencia en dichos gastos, lo que se corrobora también por 
          los autores <span class="tooltip"><a href="#B9">De las Cuevas et al. (2009)</a><span class="tooltip-content">De
          las Cuevas, M. H. R., Rodríguez, H. T., Paneque, R. P., &amp; Herrera, 
          P. (2009). Costos energéticos de un conjunto tractor-máquina de siembra 
          directa. <i>Revista Ciencias Técnicas Agropecuarias</i>, 18(4), 8-12, ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B36">Valdés et al. (2016</a><span class="tooltip-content">Valdés,
          H. P. A., De las Cuevas, M. H., Gómez, A. M. V., Rodríguez, A. D., 
          Vázquez, Q. L., &amp; Suárez, L. R. (2016). Determinación del costo 
          energético de la picadora de forraje MF IIMA modelo EM-01 perfeccionada. <i>Revista Ciencias Técnicas Agropecuarias</i>, 25(2), 17-21, ISSN: 2071-0054.</span></span>, <span class="tooltip"><a href="#B35">2019)</a><span class="tooltip-content">Valdés,
          H. P. A., Chuairey, C. M., Gómez, A. M. V., De las Cuevas, M. H., 
          Vázquez, Q. J. L., &amp; Fernández, G. T. (2019). Costos energéticos del
          tractor Belarus 510 y picadora de forraje JF-50. <i>Revista Ciencias Técnicas Agropecuarias</i>, 28(3), ISSN: 2071-0054.</span></span>, para el caso de otras máquinas. </p>
        <p>En
          el resto de los resultados le continúa los costos en energía requerida 
          por mantenimiento y reparación con 87,98 MJ/h, representando un 10,93% 
          con respecto al total; le siguen los costos por energía requerida en los
          materiales, fabricación, y transporte con 68,2 MJ/h, representando un 
          17,3%; la energía requerida por lubricantes con 30,02 MJ/h para un 3,73%
          y finalmente la energía requerida por mano de obra 18,2 MJ/h, 
          representando un 2,26% del total. Además, se presentan los 
          costosenergéticos totales de la operación agrícola mecanizada por unidad
          de masa cosechada que ascienden a 758,25 MJ/t.</p>
        <div class="table" id="t2"><span class="labelfig">TABLA 2.&nbsp; </span><span class="textfig">Resultados de los costos energéticos del conjunto Tractor - Cosechadora - Remolque</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col>
                <col>
                <col>
                <col>
                <col>
                </colgroup>
                <thead>
                  <tr>
                    <th align="center">Símbolo</th>
                    <th align="center">Descripción</th>
                    <th align="center">Valor</th>
                    <th align="center">U/M</th>
                    <th align="center">% del total</th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="center"><b>ESm</b></td>
                    <td align="justify">Energía requerida en los materiales, fabricación, y transporte</td>
                    <td align="center">68,2</td>
                    <td align="center">MJ/h</td>
                    <td align="center">17,3</td>
                  </tr>
                  <tr>
                    <td align="center"><b>ESc</b></td>
                    <td align="justify">Energía requerida en combustible</td>
                    <td align="center">600,37</td>
                    <td align="center">MJ/h</td>
                    <td align="center">74,6</td>
                  </tr>
                  <tr>
                    <td align="center"><b>ESl</b></td>
                    <td align="justify">Energía requerida en lubricantes/filtros</td>
                    <td align="center">30,02</td>
                    <td align="center">MJ/h</td>
                    <td align="center">3,73</td>
                  </tr>
                  <tr>
                    <td align="center"><b>ESmr</b></td>
                    <td align="justify">Energía requerida en reparaciones/mantenimiento</td>
                    <td align="center">87,98</td>
                    <td align="center">MJ/h</td>
                    <td align="center">10,93</td>
                  </tr>
                  <tr>
                    <td align="center"><b>ESmo</b></td>
                    <td align="justify">Energía requerida en mano de obra</td>
                    <td align="center">18,2</td>
                    <td align="center">MJ/h</td>
                    <td align="center">2,26</td>
                  </tr>
                  <tr>
                    <td align="center"><b>EST</b></td>
                    <td align="justify">Costos energéticos totales </td>
                    <td align="center">804,77</td>
                    <td align="center">MJ/h</td>
                    <td align="center">-</td>
                  </tr>
                  <tr>
                    <td align="center"><b>ESt</b></td>
                    <td align="justify">Costos energéticos totales por unidad de masa cosechada</td>
                    <td align="center">758,25</td>
                    <td align="center">MJ/t</td>
                    <td align="center">-</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p>En la <span class="tooltip"><a href="#f3">Figura 3</a></span>,
          se aprecian los resultados de los diferentes componentes de los costos 
          energéticos del conjunto, en MJ/h de forma gráfica. En la cual se 
          aprecia que los costos energéticos totales del conjunto para la cosecha 
          del maíz forrajero ascendieron a 804,77 MJ/h.</p>
      </article>
      <article class="section"><a id="id0x355cf00"><!-- named anchor --></a>
        <h4>- Resultados de los costos de explotación del conjunto tractor MF 275, cosechadora de forraje KUHN MC 90S TWIN y remolque.</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>En la <span class="tooltip"><a href="#t3">Tabla 3</a></span> se presentan los resultados obtenidos en Bs/h y el porcentaje con 
          respecto al total de los diferentes componentes de los costos de 
          explotación del conjunto formado por el tractor MF 275, la cosechadora 
          KUHN MC90S TWIN y el remolque. En la cual se aprecia que los mayores 
          costos de explotación se invierten en reparaciones y mantenimiento de la
          maquinaria 1 047,2 Bs/h representando el 79,5% del total, dejando 
          alrededor del 20% restante repartido en los costos por la cancelación de
          salario del personal de servicio con 156,25 Bs/h (11,86%) y la 
          amortización de la maquinaria 112,13 Bs/h (8,51%), quedando un 0,88 Bs/h
          (0,0006%) en los costos por concepto de combustible, lo que 
          prácticamente es insignificante con respecto a los demás componentes por
          los bajos precios del petróleo en Venezuela. En el caso del autor <span class="tooltip"><a href="#B37">Valdés et al. (2017)</a><span class="tooltip-content">Valdés,
          H. P. A., De las Cuevas, M. H., Rodríguez, A. D., Gómez, A. M. V., 
          &amp; Delgado, R. R. (2017). Análisis comparativo de los costos de 
          explotación de dos máquinas picadoras de forraje. <i>Revista Ciencias Técnicas Agropecuarias</i>, 26(2), 4-11, ISSN: 2071-0054.</span></span>,
          obtiene resultados diferentes ya que los mayores costos de explotación 
          corresponden por concepto de salario y combustible, durante la 
          comparación de dos máquinas picadoras de forraje de fabricación cubana y
          brasileña. La situación por la que atraviesa Venezuela es un reflejo 
          del desequilibrio en los costos de explotación, debido a controles en 
          los precios de combustible, haciendo que los precios de adquisición de 
          la maquinaria sean más altos en comparación con el resto de 
          Latinoamérica. </p>
        <p>Por otro lado, los costos de explotación por 
          unidad de masa cosechada ascienden a un valor de 787,4 Bs/t y finalmente
          los costos por unidad de energía requerida total en el proceso de 
          cosecha de forraje arriban a 1,629 Bs/MJ.</p>
        <div id="f3" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 288.858" viewBox="0 0 500 288.858" height="288.858px" width="500px" y="0px" x="0px"  version="1.1">
              <image transform="matrix(1.0246 0 0 1.0243 0 0)" 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xsYA+9Lf%203x+gNUxBICQCAQ77aMZ8inBblipRFB8/fnz58uWysrLKykonr6320dHR0tJS5bs9G0MKP2YhAAEI%20RE/AGuEeGhoy2W2p8/379/VNp7i4ePfu3cqWNDc3q11zcC01Uc7EszF6stwRAhCAQEgErBHuuro6%20sxBQh7LSUm1DxN1eVVWVoTEkgpiFAAQgEDEBa4Q7Yi7cDgIQgEBsCSDcsQ0NjkEAAhDwJoBwMzIg%20AAEIWEYgb8KtxSEvv/zyiRMnTF0Rp8yIZfxwFwIQgEDkBAIQbqeik1TY8V/vyGilx4YNG1Q8RI1a%20ea1/TkxMOCdoBcj169d1WuRd5oYQgAAE7CYQgHAbAK+88soHH3xgZFplnq5cuaKWDGw+/PBDsxbb%20bn54DwEIQCByAoEJ9y9+8Ytnz56pxpO6oDJPL730krM4L71TRtlVz89Z1afJuKnO6p62R06DG0IA%20AhCwgEBgwv3d7373pz/96UcffaQy2ZpNHz58eO3atYsBOHv2rFPVz5yjd2pU209S7kzbLYCHixCA%20AATyQSAw4ZbzO3fu1MRZJZ80m86QvDbvrGs+vmXLFqfLBw8eVH3tHTt2PHz48M6dO/lAwT0hAAEI%202EEgSOE2RUL27t2rPEmG5PX/vThUiVBKbQckvIQABCAQJwJBCvcPXxzqnfIkTvLa6ez69es3b96s%20f6oI3/e+9z0eS8ZpGOALBCBgE4EghbukpGT//v3qvTtPcvfuXe0VqQpQb7zxhipApT+WtIkWvkIA%20AhCIAYEAhFvV+L744guzU4HWa6sIlFlPop8fPHiwZ8+eR48eqfHMmTNqTH8s6b7cVIzKsBwlBsRw%20AQIQgECeCQQg3P574PlY0v/lnAkBCEAAAiIQqXArl6I1J2aDduhDAAIQgEB2BCIV7uxc5CoIQAAC%20EHATsEy4nbooTlEqp0VvXWZuJPAQgAAEkkHAMuHWUsKGhga9dWnoa41KbW2tdnbXI029ddnS0qJi%20KZ6NyYgWvYAABCAQdY47R+LadlIFBd3bM6soivPqvLNHsGdjjrfmcghAAALxIWDNjFsrUk6dOuWu%20SyWIU1NT6Sg9G+NDHE8gAAEI5EhgtZIMxkR3d7deQ8/RXHiXa1W46k9pc/ebN29WV1crPaKV42rs%206enRShW92qNkt2mfm5tLbzTLzNOPwcFBbT1s2pUld2iE15G4WRbSAF2qqKgI0BqmIBASgQCHfdZj%20vry8vL6+3mcHU/TZGuHW25gqPeju5Llz5zw1elnC7TaoBHpbW5tPjok5zZ16yr1T/f39uRvBAgTC%20JhDgsI9mzKcItzWpkkuXLmk6rGNyclJ5bam2JtFOXlthHh0dLS0tramp8WwMexxgHwIQgEBkBKwR%20bk8iel1+YGCgublZWQ6VQ9GrPcqZeDZGBpQbQQACEAibgH3C7a5tIjqmvIk5nCInno1ho8Q+BCAA%20gWgI2Cfc0XDhLhCAAARiSwDhjm1ocAwCEICANwGEm5EBAQhAwDICCLdlAcNdCEAAAgg3YwACEICA%20ZQQQbssChrsQgAAEEG7GAAQgAAHLCCDclgUMdyEAAQgg3IwBCEAAApYRQLgtCxjuQgACEEC4GQMQ%20gAAELCOAcFsWMNyFAAQggHAzBiAAAQhYRgDhtixguAsBCEAA4WYMQAACELCMAMJtWcBwFwIQgIBN%20wj00NKSdbswxMTFhgqc9gouKikxjX19fhkaCDQEIQCAZBKwRbgm09nfXNjfz8/O7du1qaGh4+vTp%20vXv3amtrtbO72tvb21taWmZmZjwbkxEtegEBCEBABKwRbu1Y1tnZKY8l3NPT0zt37iwoKBgbG9PG%20wdogWO3OHsGejQQbAhCAQGIIWCPcIn7o0CHlQzZt2qRZ9vDwsIR7amoqPRKejYkJGB2BAAQgsFpJ%20BkOhu7u7tbU1/kQeP35cXV2tlMi1a9e0xXtPT49+0ObuyqWoXWmTubm59MampibPrg0ODs7OzpqP%209FfBoRF/DkF5qK8vQZmSnYqKigCtYQoCIREIcNhnPebLy8vr6+t9djBFn+0TbvXz5MmTHR0d4+Pj%20n3zySY7C7abW1dXV1tbmk2NiTmtsbAywL/39/QFawxQEQiIQ4LCPZsynCLc1qRKJtbNo5MaNG+vX%20r9+8ebOT11Z0R0dHS0tLle/2bAwp/JiFAAQgED0Bm4T78uXLZtnf1atXTXpETyyVLWlublaj5uAj%20IyOLNUZPljtCAAIQCImANcKt/l+6dEk5aB0PHjyQQBsidXV1plFHVVVVhsaQCGIWAhCAQMQEbBLu%20iNFwOwhAAALxJIBwxzMueAUBCEBgUQIIN4MDAhCAgGUEEG7LAoa7EIAABBBuxgAEIAABywgg3JYF%20DHchAAEIINyMAQhAAAKWEUC4LQsY7kIAAhBAuBkDEIAABCwjgHBbFjDchQAEIIBwMwYgAAEIWEYA%204bYsYLgLAQhAAOFmDEAAAhCwjADCbVnAcBcCEIAAws0YgAAEIGAZAYTbsoDhLgQgAAGbhHtoaMjs%20gLNhwwZtFmyCpz2Ci4qKTLuzt5lnI8GGAAQgkAwC1gi3tPjmzZva5mZycnJ+fv7YsWMLCwv37t2r%20ra3Vzu5qb29vb2lpkaB7NiYjWvQCAhCAgAhYI9zaXrKzs1Mea9OyNWvWmOCNjY0VFhZqg2D97OwR%207NlIsCEAAQgkhoA1wu0Q15z6+fPnBw8eLCgomJqaSo+EZ2NiAkZHIAABCKxWksFQ6O7ubm1tjTkR%20pUE041Z6ZHh4WMJ98uTJnp4es+O7cinV1dVKm8zNzaU3NjU1eXZtcHBwdnbWfKQsuUMj5hwCdG96%20ejpAaxUVFQFawxQEQiIQ4LDPesyXl5fX19f77GCKPtsk3I8fP5Y0379/X9CLi4vV4dyF202tq6ur%20ra3NJ8fEnNbY2BhgX/r7+wO0hikIhEQgwGEfzZhPEW5rUiXpqq2IOnlt/Tw6OlpaWqp8t2djSOHH%20LAQgAIHoCVgj3CMjI9evX1caZO3atc6KQD2xHBgYaG5uVktHR4fOUc7EszF6stwRAhCAQEgErBHu%20uro6JaCd48GDB9JoQXG3V1VVGUyejSERxCwEIACBiAlYI9wRc+F2EIAABGJLAOGObWhwDAIQgIA3%20AYSbkQEBCEDAMgIIt2UBw10IQAACCDdjAAIQgIBlBBBuywKGuxCAAAQQbsYABCAAAcsIINyWBQx3%20IQABCCDcjAEIQAAClhFAuC0LGO5CAAIQQLgZAxCAAAQsI4BwWxYw3IUABCCAcDMGIBA1AdWRN9tb%20Oztcu1tM+8TEhNstZ6ds90fpdqLuCffLEwGEO0/gue1KJaCtmrRlx/j4uHuHa0mwU/lS2/KVlZVV%20VlY6hHTJ66+/bi7RpwcOHNAGfp52VirUFddvhDuwkB86dMjMlbQj0dOnT2U384TImUNt2LBBv4eB%20+YGheBO4ffv2s2fPbt265emmNue7cuXK4cOHzR5P5jCbhGzevFk/v/baaw8fPrxz505mO/FmgHe5%20EkC4cyVorpdqa5+HJ0+eaE6kTSz1W5d5QqRPb968qZMnJyfn5+ePHTu2sLAQjCtYiTcBFYtvb29P%202f3Dcfns2bOFhYVHjx51d2LHjh1GrNW4bds2nSDdz2wn3gzwLlcClgm3maWeOHHC6bcUsKioyJ0u%201EeejbmiWvx63U5zIv02umdJmSdE2qans7NTJrUdxJo1a8LzDctxI6BN+C5fvux4pb0Enb/Zmm6f%20Pn1a+4Fs2bLF7bZyI7t27dKGqxrne/bs0YR9+/btGezErcv4EzgBm4RbmYcjR464EWiga8d37ezu%20Thd6NgYOzm3QaLSZQ+nQr5l+FX1OiJQkef78uRKX2rQ+VCcxHhMCUmoFXWNGg/bixYsS8fPnzxvf%20NN3W16/W1taUwVBSUnLt2jWTBNcl69evV9okg52Y9BQ3wiNgjXCb+cUf//hHJfscHGNjY/raqA2C%201eLsEezZGB5Bx7J5dqTUx8cff6xfRT8TIvM35mc/+9kvf/nLCDzkFvEkoOmzHDMDZv/+/Xv37jV+%20mi+OfX19jts659SpU+lTcnOCscOxEghYI9xm0qFvi+6oTE1NpQfJszGyWDqpjyUnRPol/PnPf/7S%20Sy/94Q9/YLodWYDyfiNNqDVIlKrWlzN9gzx+/LjZK9Vsh+3+7mW+yUmOndSfeUQ5PDysAbOYnbx3%20EAciILBak0RzGwmNhkIEt8zlFpqiatC/9dZbZ86ckR0lT3p6eiToatTglqwrbaKd4NMbm5qaPO87%20ODioZ4nmI/0iOTSW5aS+3moepLS1Zv165KhE/JtvvvnPf/7zs88+01MmfbF1GvX79v777+uX80c/%20+pF+kHbr9za/qj09Pb2szmY+uaKiIkBrK9yUvjtqbOd9hCQyCgEO+6zHvJaf1dfX+8Sbos8rXbjd%201LS6tq2tzSfHlNMk1k7+/dy5c/o7IVHWHxLNocyZ+vXTHxtzmpIq//rXv9z5eom7+fOT3d1zuaqx%20sTGXy1Ou7e/vD9DaSjZl5ih//vOfzXycI1gCAQ77aMZ8inBbkyrxDJuT19anZq2r8t2ejcFGPd2a%20HkU6L1CY2b37gZI+Ml8RlMYx71a4z9enDx48yItqh40F+1kT2Lhx46NHj1DtrAEm+0JrhFsT2Jdf%20fnnTpk3KS7zzzjvmxV9lJwYGBlKWxHo2xiGKZrHXhQsX3KsG4+AYPkAAAnYRsCxVEircXFIloToW%20qvEAvzPKz2i+NupG7tyUUk9mZmqec+iBnn42CSs3Os9PHTt5yVYFCD8y8imj0QA0mUDzkZ48dXR0%20mJ/To5Bf4I7z1pFPVKokVEXDeGwJOO+d6uuX3kxpaGhQjYHM6/c9P+X91RxDnP5qBS8M54jU5+XW%20pEp89ofTVgIB571TCbeWB+zcuVMrczKv3/f8lPdXcxktnq9W8MJwLkj9X4tw+2fFmTEiYEp66ZmH%203mAy65ozr9/P/Cnvr2YRWs9XK3hhOAuSWVyCcGcBLfUS5cuCOgLwZmWYuHTpklbjaMat0kuS71zK%20K/L+aoBDhheGA4SZwRTCHQ1n7hIKAU369I64Uzkvi3vw/moW0DJcwgvDwfJczBrCHQ1n7hIkAT0T%20cyp43LhxwxRd8ly/75T78PzUvCR1//59JcpZoxlkhFy2nFf2FTKABwUZ4Q6KJHaiIyDhVj0mU4vx%206tWr5qVTz/X7TrkPz09NeRDVSFi7dq1MsaPFskLo+WqFZwUVJwoAXxZhUiVB4cJOXAiYHHfKS6fu%2091HNym7nVVX9nP4p76/mEs6Ud4MVCzHnheFckPq/lhm3f1acaRkBXlWNQ8CIQhhRQLjDoIrNWBCg%203EccwkAUwogCwh0GVWxCAAIQCJEAwh0iXExDAAIQCIMAwh0GVWxCAAIQCJEA1QG/hZt1dUDrKo25%20B1SAzsts9DXqAvQf50NUmpiZtm7YUB0wZiMIdyAAAQgskwCpkmUC43QIQAAC+SaQzFRJ5oL6izEn%20VZL7aCTbsCyG1n1hDynJxrBZctgkP1WSuaD+koA4AQIQgEDMCSQwVZK5oH7M44F7EIAABJYkkEDh%20zlwyf0kinAABCEAg5gQSmONW6bienh5TMc4ku3t7e1P2jXWiMjg4ODs7a/6p+nAqlBPzgOEeBCCQ%20DALr1q371a9+5bMvKTnuVabEmo63337b+dnqH9rb21WgWZUk1YvJycnCwkJtNe2nR52dnX5Oi+c5%20OJ+vuEA+X+R135UDP0WfE5gq8SyZ7/PPGqdBAAIQiD+BBAq3Z8n8+EcCDyEAAQj4JJBA4VbP00vm%20+8Hxne98x89p8TwH5/MVF8jni7zuu2LhJ/DhZB6HEbeGAAQgEAaB5L+AEwY1bEIAAhCID4Fkpkri%20wxdPIAABCAROAOEOHCkGIQABCIRLAOEOly/WIQABCAROAOEOHCkGIQABCIRLAOEOly/WIQABCARO%20AOEOHCkGIQABCIRLAOEOly/WY0hgaGhIBcUmJiZi6BsuQcAPAYTbD6Wlz1EZwqKiIsmBOQ4cOLCw%20sKDLVKrQtJw4cWJpK3k9gy5Eid9e2vZ6nh7fHzu/sV/98OP3/vHNKX96y3zy1p9W/ektHf923let%20+T4Q7iAj4JQhHBkZKSgo0Myuo6NjfHxcZcy+//3vz8zMBHmzcGzRhXC4elu1l7a9nrsj8b+fv/vK%20qlWvvPu5fkM/f/eHX3/0j/d+vG/V6Iuahwc/Wr3vd2p+c1Sf61T9/8vRN6McIovcC+EOMQjuLR00%204zb1wTUxd/6Ca2L+m9/8xvw17+vrC9GVbE2nd8H9NSKePqf01bML2fII97osBow26lNZZzOi8hiO%20LDwXSpOzisP4/9N776069v6x/3wR38///tmq3330Ylb96vtS7/d1vPpt5F/9t3+FOyIWt568etx5%20qQ5sCn87mM0s++7du6WlpWpMqQ++f//+58+fq264Pjp+/PhXf9gPHnTOyYv/Tu3yJbtw8eJFnaMO%20zs/PHzp06MmTJ/lyOP2+PqPgdCGPnvt01ZyWYcCYMVZWVhZZIILy3F0r3/wumN+aSI8X0+ivDjPr%20/vpwWs0U2xzOjDtSBxfTZ2bcQf7FdL4/VlVVye7GjRsfPXqkQfnw4cNt27Y5EyLJtBIpO3bs0DnS%20Pv13586dQfqRg60lu/Dhhx9KJiorK0tKSoaHh4uLi3O4WyiXLtmFUO6alVGfri45YDTGIg5E7p6P%20jo7qT05NTY3IqYa+/j7dunUrK4q5XiTRHv0ft5H/PGZyKDp+t+/fct+53iqw6xHuwFAuZkjPJ820%206G9/+1voNwvnBnQhHK7eVu2lba/nrx77Ok3yTUik3V9Ndl/ksz/7++dRxt/XvRBuX5iyO0nj2Kw5%2002NJ5UZ+8IMfZGcnj1eld0FfDubm5v7617/Kq1//+tdPnz7No3t+bm1RFCxyNYV8Fp7rG6e+id65%20c0em3LNvPzEN5xwlul8sK9GSkm/Wjbz6vqT7lf/+r3BumItVctyBpKxSEn8mKenkuBUgk8t25/Xc%20mVb3PpmB+JOFEZ9dMBl5M+R8buaZhTPZXeKzCzHMcWc9YMwYizIQPiH7GeomtW2OPCS4v/zy6wT3%20Nz58ndAefVOH45hp9E6GZzdMs7oqZc9JNlLI5a8e10IAAhCIggAbKURBmXtAAAIQCI8AOe7w2GIZ%20AhCAQCgEEO5QsGIUAhCAQHgEEO7w2GIZAhCAQCgEEO5QsGIUAhCAQHgEEO7w2GIZAhCAQCgEEO5Q%20sGIUAhCAQHgEEO7w2GIZAhCAQCgEEO5QsGIUAhCAQHgEEO7w2GIZAhCAQCgEEO5QsGIUAhCAQHgE%20vq1V8u677z579iy8O2EZAhCAAASyI6B65SrG6Vz7rXBnZ46rIAABCEAgYgKkSiIGzu0gAAEI5EoA%204c6VINdDAAIQiJgAwh0xcG4HAQhAIFcC/w9FKTl6CKAqgQAAAABJRU5ErkJggg==" height="282" width="488" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 3.&nbsp; </span><span class="textfig">Representación de los diferentes componentes de los costos energéticos del conjunto.</span></div>
        <div class="table" id="t3"><span class="labelfig">TABLA 3.&nbsp; </span><span class="textfig">Resultados de los costos de explotación del conjunto Tractor - Cosechadora - Remolque</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col>
                <col>
                <col>
                <col>
                <col>
                </colgroup>
                <thead>
                  <tr>
                    <th align="center">Símbolo</th>
                    <th align="center">Descripción</th>
                    <th align="center">Valor</th>
                    <th align="center">U/M </th>
                    <th align="center">% del total</th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="center"><b>S</b></td>
                    <td align="justify">Salario del personal de servicio</td>
                    <td align="center">156,25</td>
                    <td align="center">Bs/h</td>
                    <td align="center">11,86</td>
                  </tr>
                  <tr>
                    <td align="center"><b>A</b></td>
                    <td align="justify">Amortización de la maquinaria</td>
                    <td align="center">112,13</td>
                    <td align="center">Bs/h</td>
                    <td align="center">8,517</td>
                  </tr>
                  <tr>
                    <td align="center"><b>R</b></td>
                    <td align="justify">Reparaciones y mantenimientos</td>
                    <td align="center">1 047,2</td>
                    <td align="center">Bs/h</td>
                    <td align="center">79,54</td>
                  </tr>
                  <tr>
                    <td align="center"><b>C</b></td>
                    <td align="justify">Combustibles y lubricantes</td>
                    <td align="center">0,88</td>
                    <td align="center">Bs/h</td>
                    <td align="center">0,00066</td>
                  </tr>
                  <tr>
                    <td align="center"><b>Gd</b></td>
                    <td align="justify">Costos directos de explotación totales </td>
                    <td align="center">1 316,46</td>
                    <td align="center">Bs/h</td>
                    <td align="center">-</td>
                  </tr>
                  <tr>
                    <td align="center"><b>Gex</b></td>
                    <td align="justify">Costos de explotación por unidad de masa cosechada</td>
                    <td align="center">787,4</td>
                    <td align="center">Bs/t</td>
                    <td align="center">-</td>
                  </tr>
                  <tr>
                    <td align="center"><b>Gent</b></td>
                    <td align="justify">Costos por unidad de energía requerida total en el proceso de cosecha de forraje</td>
                    <td align="center">1,629</td>
                    <td align="center">Bs/MJ</td>
                    <td align="center">-</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p>En la <span class="tooltip"><a href="#f4">Figura 4</a></span>,
          se aprecian los resultados de los diferentes componentes de los costos 
          de explotación del conjunto, en Bs/h de forma gráfica. En la cual se 
          aprecia que los costos directos de explotación totales del conjunto para
          la cosecha del maíz forrajero ascendieron a 1 316,46 Bs/h.</p>
        <div id="f4" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 291.331" viewBox="0 0 500 291.331" height="291.331px" width="500px" y="0px" x="0px"  version="1.1">
              <image transform="matrix(1.0081 0 0 1.0081 0 0)" 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uMmZ2U0g%20uGj6Esry8vLm5uY0A5ek25EU9IWFBen1zMyM8bmhoeH8+fPvvvtuNoKeiE/5nK6urjSB0i0fCLS0%20tATn5tDQUHCTM7ObQHDRzH0okwQ9kikX+aCkuRIvWkefOXPmwoULp06d4saFAAQgkOcEIino7pht%203brVyZvrtxMTE8XFxcqnezbmechxHwIQiCuBSAq6cv1KlL/44otKdjc1NbW3tyuHvmPHjuHh4f37%2096tR6fXx8XH18WyMayzxCwIQyHMCkRT0oqIiPfxUvsV8ent7TRT37NnjNEriUzTmedRxHwIQiCWB%20SAp6LCOBUxCAAASyJICgZwmQ4RCAAARsIYCg2xIJ7IAABCCQJQEEPUuADIcABCBgCwEE3ZZIYAcE%20IACBLAkg6FkCZDgEIAABWwgg6LZEAjsgAAEIZEkg14KuMixVVVUHDx40tcudquVZusFwCEAAAhDw%20QdATj5VIPFnCE65e4FRRrd27d4MeAhCAAAT8JeCDoBuDBgYG9JZmY2OjXrt/+PDhclb+5S9/KSsr%202759u79uMBsEIAABCPgm6EkoTWrFnAZ36dIl81sdKvTZZ5/pjKENGzaYFv3KHBqnJAzBgAAEIACB%20bAj4JuimKtbHH39s9FoVbu/cufPgwQMt252yKh988IFzqJAxWn10tJCGnDx5UhVxs/GEsRCAAATy%20nIBvgm5SLqpOLmXXuvull17SaUEbN250ludas6twucT9hRdecKArRbN27Vp1vnv37q1bt/I8GLgP%20AQhAIBsCvgm6MUIlbbUG12mfKnyopfe2bdt0tJDZyvLPpx9VvpWCZ2MxYyEAAQhAwJOAz4Jujm/W%20cRMqafvf//73b3/7mw6a+Ne//qVr61y3559/nseh3IgQgAAEAiLgm6CbHLqOm1DuRXmVffv2/fzn%20P9+yZcvmzZv/+Mc/uh+HBuQP00IAAhDIWwI+CLpOBVpcXHROlmhtbRXN0tLSe/fuqXF+fl7PSN2P%20Q80o09kcTOE8O83bYOA4BCAAgWwI+CDoK17e83HoiqPoAAEIQAACGRHIhaCbE+P0jiiPQzOKDZ0h%20AAEIZEQgF4KekUF0hgAEIACB1RFA0FfHjVEQgAAErCOAoFsXEgyCAAQgsDoCCPrquDEKAhCAgHUE%20EHTrQoJBEIAABFZHIMKCrqLqpppjeXm5KdibWJndOTrDs3F1sBgFAQhAwGYCURV0qbkOyjDVHM27%20S3oZta6urr+/Xy0q39jR0aHyjZ6NNscD2yAAAQismkAkBV2L7omJicS66vJ/cnLSqc1bX1+v0mBT%20U1OejauGxUAIQAACNhMo0HrW2KcK5iqFaLOtjm2jo6MqGuP8b0NDw/nz5999992+vj69wVRRUSHF%20V5VHrdZVwtfdaOoNJH1GRka00jeNSuM4WCIBBCODJjA7OxvcJSorK4ObnJndBIKLpi+hVA65ubk5%20zcAl6XaEBf3ixYsq/5Jau9MX9ER8KgzZ1dWVJlC65QOBlpaW4NwcGhoKbnJmdhMILpq5D2WSoEcy%205ZIYIa3H161bx10LAQhAAAKRFPRXX31VZdbHxsYUP2XJlS5XBXYnb65GZdjVoba21rORqEMAAhCI%20JYFICrpq8/75z38+ceJEYgV21eMdHh42Zdm7u7tVC0yLd8/GWAYSpyAAAQhEUtAVNlNC3Xych5yJ%20jU51dc9GAg8BCEAgfgSiKujxiwQeQQACEMiSAIKeJUCGQwACELCFAIJuSySwAwIQgECWBBD0LAEy%20HAIQgIAtBBB0WyKBHRCAAASyJICgZwmQ4RCAAARsIYCg2xIJ7IAABCCQJQEEPUuADIcABCBgCwEE%203ZZIYAcEIACBLAkg6FkCZDgEIAABWwgg6LZEAjsgAAEIZEkAQc8SIMMhAAEI2EIAQbclEtgBAQhA%20IEsCCHqWABkOAQhAwBYCCLotkcAOCEAAAlkSQNCzBMhwCEAAArYQQNBtiQR2QAACEMiSAIKeJUCG%20QwACELCFAIJuSySwAwIQgECWBBD0LAEyHAIQgIAtBBB0WyKBHRCAAASyJICgZwmQ4RCAAARsIYCg%202xIJ7IAABCCQJQEEPUuADIcABCBgC4EIC/qVK1fWr19fUFAwODhocDotKzbagh87IAABCPhHIMKC%203tPTs3fv3sLCQkPj9u3bdXV1/f39jx8/PnToUEdHx9zcnGejf/SYCQIQgIBFBKIq6KOjozMzMy0t%20LQ7LyclJiXttba1a6uvr79+/PzU15dloEX5MgQAEIOAfgQKtZ81sR48e7ezs9G/mAGdaWFioqal5%206623Xn75Zf2gVXlra+vhw4f7+vqmp6crKiqUezHtN2/edDeqs9u4kZGR+fl5066MjYMlQDeYOjoE%20ZmdngzO2srIyuMmZ2U0guGj6Esry8vLm5uY0A5ek25EUdGn3yZMnFZVr1675JeiJ+JTM6erqShMo%203fKBQOK/BX33d2hoyPc5mTAFgeCimftQJgl6JFMuV69e1dJ748aNO3fuXFpa2r9/v/NclPsYAhCA%20QN4SiKSgj42NKSWiz+XLl5U3HxgYUBbFyZsrlhMTE8XFxcqnezbmbbBxHAIQiDeBSAq6Z0h27Ngx%20PDys1boy4N3d3ePj40qmezbGO6J4BwEI5C2BaAu69HpxcdF5yLlnzx6zctenurraBNWzMW/jjeMQ%20gECMCURb0GMcGFyDAAQgkCkBBD1TYvSHAAQgYCkBBN3SwGAWBCAAgUwJIOiZEqM/BCAAAUsJIOiW%20BgazIAABCGRKAEHPlBj9IQABCFhKAEG3NDCYBQEIQCBTAgh6psToDwEIQMBSAgi6pYHBLAhAAAKZ%20EkDQMyVGfwhAAAKWEkDQLQ0MZkEAAhDIlACCnikx+kMAAhCwlACCbmlgMAsCEIBApgQQ9EyJ0R8C%20EICApQQQdEsDg1kQgAAEMiWAoGdKjP4QgAAELCWAoFsaGMyCAAQgkCkBBD1TYvSHAAQgYCkBBN3S%20wGAWBCAAgUwJIOiZEqM/BCAAAUsJIOiWBgazIAABCGRKAEHPlFha/UdHRwsKCg4ePGh63759+7nn%20nlOL+ezatevRo0fmV7t37zaN5eXlDx8+TJzdTKLPpk2b5ubmUs+Tlll0ggAEYk0AQfc/vIcPH25q%20anLPe/HixcdPP+Pj42vXrjVqPjMz8+DBAzXOz89v2LDBGXXlypVr166p/fLly/fv3z9w4IDzHeCe%20x38fmBECEIggAQTd56AtLCxcuHDh3LlzxcXFqaeWZE9MTBw6dChRx50hO3bsOHLkiP63oqJi3bp1%20PlvJdBCAQBwJRFXQ3ekIRUcSuX79epOmGBwcNPHybAwulEVFRdPT0zU1Ne5LqDHRths3biwtLe3f%20v9+dh0kcq2TLt99+29jYaBb1+iTNE5wvzAwBCESLQCQF3TMdoTx1XV1df3+/0hRa9nZ0dEgKPRtz%20H6HS0tJ79+6ZfIuk2dhmzDD5E+VVPv3001OnTiXZZux/7bXX9u3bp1+lmCf3TnFFCEDANgKRFHTP%20dMTk5GRhYWFtba0Q19fXK+88NTXl2RhuDF555ZW7d+/eunUr0QzPvIqyN6+//vrmzZvPnj3rLM+d%20UZ7zhOsaV4cABMIlUKDlobHg6NGjnZ2d4VqT6dW1VFf+Qavy1tZWPYrs6+tTukPi6LTfvHnT3ajO%207guNjIzosaRpVw7EwZKpSaa/vk6OHTumLx59tSTOoOTJhx9+KKVub29fXFx0+uj5p5JIb775poRb%20HbSK/8UvfuH0dKt54jzu367OZkalIDA7Oxscn8rKyuAmZ2Y3geCi6UsoteGtubk5zcAl6XaEBV3p%20CGm3MhLnz5+XqGUp6In4enp6urq60gSa1E1ire8Y7V1x2pVU+c9//uPseykrK9P9ZB6ESsSd9oGB%20AX3TmJakIepZUlKi7yplZjznWZ2pjEqfQEtLS/qdM+05NDSU6RD6Z0MguGjmPpRJgh7JlItimTod%20kU2wsxxrHoqadLn5VFdX79mzx/nfxO2Jie3m3w1ffvmlFH/79u2Jv9LYb775Rt9ey82Tpc3ZDE/a%20cW+mcjd6PsROvG6KIfoH06VLl7IxkrEQyBMCkRR0swq+c+eOs9RVtJy8uX7WdkDtGlQ+3bPR2tDq%203xzHjx8/ffq050ZGC8323HHvbkyxp944lWKIklfbtm3bu3dv0ltXFtLAJAiETiCSgq4Xc5TTUH58%2048aNzouUSlgPDw+bXYDd3d3qoyWtZ2Po0JczwGxi0YreWgsTDfPcce/ZmHpPfeohEnR9besJMI8K%20InFXYGS4BCIp6J7pCHFMbHdk0bMxXOjxuLrnjvsU2/DltXtPvRqXG2KKImzZssV5TBIPbngBgeAI%20RFLQg8PBzMERSNpTv+KFxsbG9PBAK3Rt8ZSsOzv3VxxIBwjkLQEEPW9Dn1PHV/0QW+v3hoYG9879%20nFrPxSAQEQIR3rYYHOFsti0mWhWn3VHL0TabR9va2np7e50+SY2eD7ET3yHQwKQhekyq3T5m549y%20L59//rl5wyC4oKeeObhQ6rq53+sWFkZLrhtcNHMfyphsW7TkzshnMyTTVVVVSoYoK3LixAmzudCz%200fMhtills3XrVs8hEnTVODNVbkJX83yOMr5HiwApl2jFyyJrPXfcr7gN39lT7+y49xwiP00O3elv%20keeYAgFbCSDotkYm1nZFbsd9rKOBc/EhgKDHJ5YR8iRaO+4jBBZT85wAgp7nNwDuQwAC8SGAoMcn%20lngCAQjkOQG2LXrcAGxbTP+vIrgdYLIh95vAlnM8T9xMP+6R7hlcNHN/x7JtMdK3IsZDAAIQWJYA%20KRduDghAwINA6sN49aKAeUsg8fxez0bg5pIAgp5L2lwLAtEgkPowXmm90pLmOFzn/F7Pxmh4GyMr%20EfQYBRNXIOATgdSH8Zq3fK9fv554Nc9Gn8xhmnQJIOjpkqIfBPKHgN7jTeGsSlJrYZ509oBnY/4Q%20s8RTBN2SQGAGBCJDwJxJ4pirjRaPHj3ybIyMS3ExFEGPSyTxAwK5IiAFV3l65ViUQz9z5ozE/dSp%20U56NubKI63xHAEHnVoAABJIJeB7Ga/a9DA4OunmpamaajbAOlACCHiheJodAJAl4HsbrVDzu7OxU%20bfoXX3xRexabmpra29t14qNnYySdj7LRCHqUo4ftEAiMgPsw3uUqHpuzTZLKICceeBKYjUycTABB%20556AAARWJkDF45UZWdADQbcgCJgAAesJUPHY+hA9MRBBj0SYMBICEIDAygQQ9JUZ0QMCEIBAJAjE%20X9BT1xiKRJAwEgIQgEA6BGIu6KlrDKUDiD4QgAAEokIg5oKeusZQVIKEnRCAAATSIRDzE4tUoLmv%20r296elrvQSj3UlNT09/f39ra6kYzMjIyPz9v2vW6hN5pTgcffSAAAQj4S+C55577wx/+kOacSScW%20rZFymc97773n/BybH1QTrqSkxBSduHz5cmFh4cDAwIreHTlyZMU+MeiAmzEIonGBUMYmlJlGM0m3%20Y55ySfNbjm4QgAAEYkAg5oLuWWMoBmHDBQhAAAJuAjEXdM8aQyveBz/60Y9W7BODDrgZgyAaFwhl%20bEKZZTRj/lA0TmHGFwhAAAJJBJIeisZ8hU74IQABCOQPAQQ9f2KNpxCAQMwJIOgxDzDuQQAC+UMA%20Qc+fWOMpBCCQFYHR0dFNmzbpPNWsZglyMIIeJF3mzhcCX//p13q/+Aeftk9i6nyCr7/+09drPmmL%20k6e7d+92onjw4MHIhRBBDztkn7SZG0h/FfH60/gB2CdexunvPvmu+cmBvz+eeHPNml+9/9XTdxb1%2080f1cXRYgfzp21+8OWHezBxe89uC+o/C/hPy5/oLCwtVVVWff/65ebFcH/1w6dIlf2bP1SwIeq5I%20e15Hi536NeaPo/Hj2PxpuF395GP91X/0rtZzefT51c9+GjdvP2mTfOtL68M3jGfPvsfi4Of4+PjM%20zMzx48dV98n4MzY2psOv9YNKQplV19TUlOWuIuihBuirf3+x5qOPn/7b/I0PperP/lBCNcr/i3+y%20pvHJ8vWLs3+Nu6J/8fZPn/7lf9z4+PHfD/zEf5Shzvj0e3nNy1t/4NcbH8bjrtUR2Kr7VFtbq5rb%20Ko9lFFwrdBX16+npUQ2o+/fv/+Mf/wg1ACtfHEFfmVGAPd545/1f6d/mz3IuAV4pxKm//tP1NW+8%200ZgXiq7V65Ovrmff0iFS59KrJWBOTz1z5oyZYGJiori4WEJfVFT0zjvvrHbWHI1D0HMEepnL6N+s%20X0nTn3ye6PqTh0xx+3z917Nvy7WnqdY8WKPrn1pPJD2WGfSf/uzJrfrP6z+8Sb/+OhY37UsvvXT3%207t1bt25F+g8QQQ89fE/ykOYxmgTv31+Fbo/PBnz91dZh84zpadbl7WNx3fzxPbfYSvpPDgxr9aG0%200vePe/WQ9Ld/9fmWCWe6Xbt2bdu2Tf9N2pVohF7Zcz01PXbsWDjGpX9Vp45wLOuh214lWRr3bMPA%20U8F7tknCdrvTt2/i/e/2fWiI+bdI/Hx0XHv6Z2f8e/r9HE9nv3PNaMz3t2/694TNPRsbGx3xLCsr%20e/DgwZMNC88aJejPP/+8sw3GBkeSdDvmB1zYQDyVDRNv6uPcQHH74/hOwX8ocTFVOdvvNOyLKYEk%20QafaYvr/mKEnBCAAAbsIUG3RrnhgDQQgAAG/CPBQ1C+SzAMBCEAgZAIIesgB4PIQgAAE/CKAoPtF%20knkgAAEIhEwAQQ85AFweAhCAgF8EEHS/SDIPBCAAgZAJIOghB4DLQwACEPCLAILuF0nmgQAEIBAy%20AQQ95ABweQhAAAJ+EUDQ/SLJPBCAAARCJoCghxwALg8BCEDALwIIul8kmQcCEIBAyAQQ9JADwOUh%20AAEI+EUAQfeLJPNAAAIQCJnA9+Vz33///aWlpZDN4fIQgAAEIJA2gcLCwrffftvp/r2gpz0DHSEA%20AQhAwEYCpFxsjAo2QQACEFgFAQR9FdAYAgEIQMBGAgi6jVHBJghAAAKrIICgrwIaQyAAAQjYSOD/%20AaAuCeyt/i5vAAAAAElFTkSuQmCC" height="289" width="496" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 4.&nbsp; </span><span class="textfig">Costos de explotación del conjunto Tractor-Cosechadora-Remolque.</span></div>
      </article>
    </article>
    <article class="section"><a id="id0x3b7bf80"><!-- named anchor --></a>
      <h3>CONCLUSIONES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <div class="list"><a id="id0x3b7c200"><!-- named anchor --></a>
        <ul>
          <li>
            <p>Los
              costos energéticos totales de la operación agrícola del conjunto en 
              estudio para la cosecha de maíz forrajero ascendieron a 804,77 MJ/h; el 
              componente de los costos energéticos de la energía requerida en el 
              combustible, representó el mayor valor de 600,37 MJ/h, representando un 
              74,6% de los costos energéticos totales, siendo muy significativo, donde
              el otro 25,39% corresponde a la energía secuestrada en reparación y 
              mantenimiento con 87,98 MJ/h (10,93%); materiales, fabricación y 
              transporte con 68,2 MJ/h (17,3%), lubricantes 30,02 MJ/h (3,73%), en 
              mano de obra 18,2 MJ/h (2,26%) y finalmente los costos energéticos 
              totales por unidad de masa cosechada ascendieron a 758,25 MJ/t.</p>
          </li>
          <li>
            <p>Los
              costos directos de explotación totales del conjunto para la cosecha del
              maíz forrajero ascendieron a 1 316,46 Bs/h. El componente de los costos
              de explotación que representó el mayor valor, se reflejaron en los 
              mantenimientos y reparaciones con 1 047,2 Bs/h, representando el 79,54% 
              del total de los costos de explotación, quedando alrededor del 20% 
              repartido entre el salario del personal de servicio 156,25 Bs/h 
              (11,86%), la amortización de la maquinaria 112,13 Bs/h (8,51%) y de 
              combustible 0,88 Bs/h (0,00066%); los costos de explotación por unidad 
              de masa cosechada 787,4 Bs/t y finalmente los costos por unidad de 
              energía requerida total en el proceso de cosecha de forraje arriban a 
              1,629 Bs/MJ.</p>
          </li>
        </ul>
      </div>
    </article>
  </section>
</div>
<div class="box2" id="article-back">
  <section>
    <article><a id="ack"></a>
      <h3>AGRADECIMIENTOS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Agradecemos
        al convenio Cuba-Venezuela y a la Universidad Politécnica Territorial 
        del Estado Trujillo, de Venezuela por servir de sede para la impartición
        de la maestría en Maquinaria Agrícola, lo que posibilitó la realización
        de esta investigación en la zona objeto de estudio.</p>
    </article>
    <article><a id="ref"></a>
      <h3>REFERENCIAS BIBLIOGRÁFICAS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
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